magnet:?xt=urn:btih:41DC775B196A1CDCE3666F5D58E987AE4F942F45
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/exercise.7z 86.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.mp4 38.3 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/exercise.7z 34.6 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.mp4 31.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.mp4 28.5 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.mp4 28.3 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.mp4 26.3 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.mp4 24.6 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.mp4 24.4 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/05. Convert CSV Data to Table Format.mp4 23.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/exercise.7z 22.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.mp4 21.1 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/6. Building and Training a Regression Model for Price Prediction.mp4 20.8 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/08. Transform Data Using a Spark Activity.mp4 20.7 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.mp4 20.3 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.mp4 20.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.mp4 20.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.mp4 19.9 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/7. Deploying the Model.mp4 19.8 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/04. Join Tables Using Power Query.mp4 19.7 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/5. Preparing and Processing Data.mp4 19.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/06. Performing Analysis Using Bucketing and Pivot Charts.mp4 19.4 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/3. Excel - Identifying and Eliminating Outliers Using Z-scores.mp4 19.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/6. Load Data Using Azure Data Factory.mp4 18.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/07. Pivot Tables for Summary Statistics.mp4 18.5 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/10. Handling Imbalanced Data with Scikit Learn.mp4 18.3 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/5. Calculating a Priori Probabilities of Survival on the Titanic.mp4 18.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.mp4 17.9 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/6. Tuning Hyperparameters and Interpreting the Model.mp4 17.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/4. Hyperparameter Tuning a Decision Forest Classifier.mp4 17.8 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/4. Building and Registering the Model.mp4 17.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.mp4 17.0 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/6. Python - Working with Missing Values on Real World Data.mp4 16.9 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/5. Preprocessing and Preparing Data.mp4 16.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/8. Demo - Revisiting Selecting the Best Coffee Video.mp4 16.7 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/2. Creating an Azure SQL Database.mp4 16.7 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.mp4 16.3 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/3. Configuring a Self-hosted Integration Runtime.mp4 16.3 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.mp4 16.3 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/5. Visualizing Data Using Power BI.mp4 16.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/07. Visualizing Insights Using Azure Data Studio.mp4 16.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/7. Demo - Making Our First Statistical Test.mp4 15.9 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/5. Data Transformation Using Azure Machine Lear.mp4 15.9 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/3. Retraining Model with Automated Machine Learning.mp4 15.4 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/09. Drawing Funnel Charts.mp4 15.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/5. Uploading Data to Blob Storage and Creating a Data Factory.mp4 14.7 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/7. Demo - Evaluate a Regression Model.mp4 14.6 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/5. Monitoring Data Drift.mp4 14.5 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/4. Calculating Descriptive Statistics Using Python Libraries.mp4 14.4 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/07. Box Plots and Violin Plots.mp4 14.4 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/03. Bubble Charts.mp4 14.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/2. Getting Started with Azure ML Studio.mp4 14.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/08. Performing Regression Analysis on Bivariate Data.mp4 14.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/5. Demo - Implementing GD and SGD.mp4 14.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/4. Demo.mp4 14.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/06. Visualizing Statistical Data.mp4 13.8 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/7. Python - Identifying and Removing Outliers.mp4 13.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/06. Convert Wide Form Data to Long Form.mp4 13.5 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/4. Loading and Querying CSV Data.mp4 13.4 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/09. Covariance and Correlation Matrices for Multivariate Data.mp4 13.4 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/5. Tuning and Scoring Multiple Models.mp4 13.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.mp4 13.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/3. Loading and Visualizing Data.mp4 13.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/8. Regression on Multivariate Data Using Statsmodels and scikit-lea.mp4 12.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/6. Demo - The Houses Price.mp4 12.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/7. Model Selection - Let the Simplest Model Win.mp4 12.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/4. Exploring Relationships in Data.mp4 12.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/5. Demo - Mixing all Together.mp4 12.5 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/04. Loading Data from Blob Store to the Data Warehouse.mp4 12.5 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/4. Hypothesis Testing.mp4 12.5 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.mp4 12.4 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/3. SQL Server Management Studio.mp4 12.3 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/3. Calculating Descriptive Statistics Using Python.mp4 12.3 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/05. Identifying and Coping with Outliers.mp4 12.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/5. Python - Filling Missing Values.mp4 12.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/4. Excel - Clamping Outliers.mp4 12.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/5. Creating a Stream Analytics Job and a Power BI Pro Account.mp4 12.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/2. Data Silos and Possible Solutions to Silos.mp4 11.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/8. Demo - Comparing Models.mp4 11.8 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/6. Configuring Input and Output for the Stream Analytics Job.mp4 11.8 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/5. Demo - Comparing Means.mp4 11.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.mp4 11.6 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/05. Using Pivot Tables for Summary Statistics.mp4 11.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/3. Demo - The Housing Problem - Part 1.mp4 11.6 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/4. Uploading a File to Azure Blob Storage.mp4 11.5 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/2. Clustering - Hierarchical and Non-hierarchical.mp4 11.4 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/7. Visualizing Streaming Data Using Power BI.mp4 11.4 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/08. Installing and Visualizing Data in Power BI.mp4 11.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/6. Does the Distribution Change in a Sample.mp4 11.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/06. Enabling Resource Permissions to an Azure Active Directory App.mp4 11.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/08. Unpivot Tables.mp4 11.1 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/2. Overfitting and Techniques to Mitigate Overfitting.mp4 11.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/06. Representing Pairwise Relationships Using the Pairplot and.mp4 11.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/05. Regression Analysis on Bivariate Data.mp4 11.0 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/4. Applying Bayes Theorem to Make Predictions.mp4 11.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/3. Demo - Installing Jamovi.mp4 10.9 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/2. Loading Data to an On-premises SQL Server.mp4 10.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/3. Loading Data to Azure Blob Storage.mp4 10.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/11. Regression Analysis with Multivariate Data.mp4 10.7 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/02. Transactional and Analytical Processing on Azure.mp4 10.7 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/3. Demo - Linear Regression with Regularization.mp4 10.7 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/07. Handling Missing Values.mp4 10.7 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/2. Visualizing Univariate Distributions.mp4 10.6 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/4. Demo - Perform Polynomial Regression.mp4 10.5 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/4. Creating an Azure SQL Database and Tables.mp4 10.5 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.mp4 10.4 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/5. Demo - Selecting the Best Coffee.mp4 10.4 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/2. Model Performance Strategy.mp4 10.3 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/11. Stacked Plots and Stem Plots.mp4 10.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/08. Cleaning Data.mp4 10.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/06. Installing and Working with Azure Data Studio.mp4 10.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/3. Demo - Salary Fairness.mp4 10.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/6. Identifying and Coping with Outliers.mp4 10.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/09. Pie Charts.mp4 10.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/7. Box Plots, Violin Plots, and Factor Plots.mp4 10.0 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/4. Finding and Connecting Dots - Data Collection and Analysis.mp4 10.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/2. Demo - Multilabel Intent Classification with Naive Bayes.mp4 9.9 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.mp4 9.9 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/10. Visualizing Multivariate Data Using Pivot Charts.mp4 9.7 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/3. Making Things Faster - Feature Scaling and Learning Rates.mp4 9.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/08. Visualizing Data Using Box Plots and Violin Plots.mp4 9.5 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/4. Understanding Descriptive Statistics.mp4 9.5 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/02. Loading XML Data.mp4 9.5 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/1. Distance and Covariance Matrices.mp4 9.4 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/06. Detecting Outliers Using Z-scores.mp4 9.4 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/3. Types of Windows.mp4 9.3 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.mp4 9.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/3. Supervised Learning - When We Learn from History.mp4 9.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/04. Visualizing Univariate Statistics.mp4 9.1 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/2. Azure Machine Learning Services Overview.mp4 9.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/09. Copying Data from a Blob Storage Folder.mp4 9.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/09. Visualizing Categorical Data Using Bar Plots, Point Plots,.mp4 9.1 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/1. What Is Statistics.mp4 9.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/07. Python Script to Transform Data Using Pyspark.mp4 9.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/04. Bubble Maps for Geographical Data.mp4 9.0 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/7. Designing a Machine Learning Experiment.mp4 8.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/5. Continuous and Discrete Distribution Functions.mp4 8.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/2. Hyperparameter Optimization - TrainDevTest Sets.mp4 8.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.mp4 8.8 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/2. Overfitting - A Great Responsibility Conveys a Great Regularization.mp4 8.8 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/4. Copying Data from On-premises SQL Server to SQL Data Warehouse.mp4 8.8 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/2. Goodness of Fit - Let’s Test if This Follows The Pattern!.mp4 8.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/4. T Test - Estimate the Chance of Equal!.mp4 8.5 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/4. Pairwise Relationships.mp4 8.4 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/3. Visualizing Bivariate Relationships.mp4 8.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/5. Transactional and Analytical Processing.mp4 8.3 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/7. Performing Join Operations in SQL.mp4 8.2 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/06. Interactive Time Series Charts.mp4 8.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/6. Bivariate Analysis.mp4 8.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/3. Accuracy, Precision, and Recall.mp4 8.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/6. Joins.mp4 8.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/6. Vertical and Horizontal Scaling.mp4 8.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/2. Finding the Minima - GD and SGD.mp4 8.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.mp4 8.0 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/6. ANOVA.mp4 8.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/04. Combining and Shaping Data Using Pandas.mp4 8.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/6. Demo - Perform a Spline Regression.mp4 8.0 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/3. Identifying and Sourcing the Relevant Data.mp4 7.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/3. Compression - PCA and CA.mp4 7.9 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/5. Dealing with Missing Values - Deletion and Imputation.mp4 7.9 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/5. Calculating Skewness Kurtosis and Simple Visualizations.mp4 7.9 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/07. Visualizing Bivariate Relationships.mp4 7.7 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/8. Python - Training an ML Classifier Using the Cleaned Dataset.mp4 7.6 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/3. Demo - Perform Simple Linear Regression.mp4 7.6 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/02. Working with Excel Workbooks.mp4 7.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/2. Batch and Streaming Data.mp4 7.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/7. Confidence Interval - The Other Face of the Coin.mp4 7.5 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/09. Working with Imbalanced Data.mp4 7.5 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/8. Covariance Matrices and Correlation Matrices.mp4 7.4 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/4. Demo - The Housing Problem - Part 2.mp4 7.4 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/08. Histograms.mp4 7.4 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/4. Connecting the Dots - Combining and Shaping Data.mp4 7.4 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/5. Demo - Multiclass Classification with Multinomial Logistic Regression.mp4 7.3 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/10. Sankey Diagrams.mp4 7.3 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/2. When the World Is Not Linear, You Just Linearize!.mp4 7.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/3. Normalization.mp4 7.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/03. Numeric Representations of Text Data.mp4 7.3 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/8. Performing Pivot and Unpivot Operations in SQL.mp4 7.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/3. A Priori and Conditional Probabilities to Classify Data.mp4 7.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/07. Visualizing Categorical Data Using Strip Plots and Swarm P.mp4 7.2 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/04. Visualizations and Use Cases.mp4 7.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/5. Regression Plots.mp4 7.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/05. Heatmaps.mp4 7.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/5. Measures of Central Tendency and Dispersion.mp4 7.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/4. Watermarks and the Notion of Time.mp4 7.0 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/6. Applying Bayes Rule Using the Naive Bayes Classifier.mp4 6.9 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/09. Creating Different Visualizations in Power BI.mp4 6.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/4. Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.mp4 6.8 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/2. Selecting the Appropriate Model.mp4 6.8 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/2. Intuition behind Bayes Theorem.mp4 6.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/6. Querying Data in SQL Using Aggregations.mp4 6.6 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/07. Candlestick Charts for Stock Price Movements.mp4 6.5 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/10. Visualizing Autocorrelation.mp4 6.5 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/4. The ROC Curve.mp4 6.5 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/3. Minimum Squares Estimation - Find the Linear Part.mp4 6.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/1. Module Overview.mp4 6.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/1. What Does the Boundary Look Like.mp4 6.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/3. Statistical Hypothesis - What Am I Missing.mp4 6.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/1. Back to the Basics - Linear Regression Again.mp4 6.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/02. Data Cleaning - Missing Data and Outliers.mp4 6.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/3. Setting up an Azure SQL Data Warehouse.mp4 6.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/03. Getting Started with Azure Notebooks.mp4 6.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/5. Demo - Perform Multiple Linear Regression.mp4 6.1 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/3. Alternative Hypothesis and Null Hypothesis.mp4 6.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/7. Checking Homoscedasticity - Levene and ANOVA Inception.mp4 6.0 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/7. Simple Regression on Bivariate Data Using Scipy.mp4 6.0 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/7. Batch and Streaming Data.mp4 6.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/05. Getting Started with Azure Notebooks.mp4 5.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/2. What Are Estimators.mp4 5.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/5. Demo - Classify Iris with SVM.mp4 5.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/4. Basic Probability and Random Variables.mp4 5.8 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/2. Getting Started with Azure Notebooks.mp4 5.8 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/5. The Assumptions of Regression.mp4 5.8 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/4. Classify Multiple Categories - One vs. All Classification.mp4 5.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/02. Understanding Kernel Density Estimation.mp4 5.7 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/03. Aggregation Operations.mp4 5.7 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/6. What No One Talks About - Assumptions.mp4 5.6 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/4. Choosing the Right Encoding Method.mp4 5.6 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/1. Maximizing the Actual Information - Bayesian Attack!.mp4 5.5 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/5. T-tests.mp4 5.4 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/03. Singular Cross-validation.mp4 5.4 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/exercise.7z 5.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/02. Continuous and Categorical Data.mp4 5.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/1. How to Learn in Machine Learning Cost Functions!.mp4 5.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/3. Null Hypothesis of ANOVA.mp4 5.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/3. Large Margin Classification - Outliers!.mp4 5.1 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/4. The Output of ANOVA.mp4 5.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/7. Measuring Relationships Using Covariance.mp4 5.0 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/4. Training and Testing Data Subsets.mp4 5.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/6. Strip Plots and Swarm Plots.mp4 5.0 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/1. Module Overview.mp4 5.0 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/4. Monitoring the Model.mp4 5.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/1. Non-linear Regression - Polynomial Features.mp4 4.9 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/2. Standardization.mp4 4.8 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/5. Wide Form and Long Form Data.mp4 4.8 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/4. Demo - Perform PCA.mp4 4.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/3. Decision Trees.mp4 4.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/3. Connecting the Dots with Data.mp4 4.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/7. Aggregations.mp4 4.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/2. T Distribution - When the Variance Is Unknown.mp4 4.5 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/1. Getting Started with Machine Learning.mp4 4.5 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/2. The Power of Regression.mp4 4.3 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/exercise.7z 4.2 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/3. Azure ML - Classification Model Options.mp4 4.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/04. Representing Image Data as Matrices.mp4 4.2 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/08. Funnel Charts and SVG Paths.mp4 4.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/6. Assumptions of the Model - Hetero-what!.mp4 4.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 4.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/05. Azure Data Products.mp4 4.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 4.1 MBC2. Communicating Data Insights (Janani Ravi, 2020)/exercise.7z 4.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/6. Understanding Variance.mp4 4.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/8. Event Time, Ingestion Time, and Processing Time.mp4 4.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/4. How It All Fits - Going Back to the Model!.mp4 4.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/2. Why Don’t You Use Multiple T Tests.mp4 4.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/3. Tukey Comparisons - I Want It All.mp4 4.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/4. Normality Tests.mp4 4.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/6. What if I Am Mistaken.mp4 3.9 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/5. Feature Scaling.mp4 3.9 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4 3.9 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/4. What if I Want More Variables Multiple Regression to the Rescue!.mp4 3.8 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/1. Course Overview/1. Course Overview.mp4 3.8 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/4. Binning.mp4 3.7 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/5. Outliers Strike Again - Spline Regression as Local Regressor.mp4 3.6 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/02. Cross-validation in the ML Workflow.mp4 3.6 MBC2. Communicating Data Insights (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 3.6 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/2. Factors of a Well Defined Hypothesis.mp4 3.6 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/1. Module Overview.mp4 3.6 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/2. Introducing the Azure SQL Database.mp4 3.4 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/exercise.7z 3.4 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/2. Hyperparameter Tuning.mp4 3.3 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/1. Course Overview/1. Course Overview.mp4 3.2 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/3. Dependent and Independent Variables.mp4 3.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/8. Summary.mp4 3.2 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/1. Module Overview.mp4 3.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/4. Prediction and Extrapolation.mp4 3.0 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/1. Course Overview/1. Course Overview.mp4 3.0 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/6. Summary.mp4 2.9 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/4. Planned Contrasts - When You Need More Potency.mp4 2.8 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/6. Summary.mp4 2.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/8. Summary.mp4 2.7 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/1. Course Overview/1. Course Overview.mp4 2.5 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/5. Course Wrap Up.mp4 2.5 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/1. Module Overview.mp4 2.5 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/8. Module Summary.mp4 2.5 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/6. Common Feature Selection Techniques.mp4 2.5 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/1. Overview.mp4 2.4 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/5. Hypothesis Acceptance Criteria.mp4 2.4 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/1. Introducing Demo - Salary Fairness.mp4 2.3 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/7. Summary.mp4 2.3 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/10. Summary and Further Study.mp4 2.3 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/4. Key Performance Indicators Required.mp4 2.3 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/8. Summary.mp4 2.3 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/7. Summary.mp4 2.2 MBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/1. Module Overview.mp4 2.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/10. Summary.mp4 2.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/7. Summary.mp4 2.2 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/8. Summary and Further Study.mp4 2.2 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/12. Module Summary.mp4 2.2 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/1. Module Overview.mp4 2.1 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/10. Summary.mp4 2.1 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/5. Metrics for Model Classification Optional.mp4 2.1 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.mp4 2.1 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/3. Prerequisites and Course Outline.mp4 2.1 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/10. Summary.mp4 2.1 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/8. Summary.mp4 2.1 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/3. Prerequisites and Course Outline.mp4 2.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/8. Summary.mp4 2.0 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/10. Summary and Further Study.mp4 2.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/11. Summary.mp4 2.0 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/exercise.7z 2.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/6. Summary.mp4 2.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/03. Prerequisites and Course Outline.mp4 2.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/01. Module Overview.mp4 2.0 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/3. Prerequisites and Course Outline.mp4 2.0 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/02. Module Overview.mp4 1.9 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/01. Module Overview.mp4 1.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/01. Module Overview.mp4 1.9 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/2. Module Overview.mp4 1.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/1. Module Overview.mp4 1.9 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/6. Summary and Further Study.mp4 1.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/01. Module Overview.mp4 1.9 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/9. Summary.mp4 1.9 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/9. Summary.mp4 1.9 MBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/12. Summary.mp4 1.9 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/2. Prerequisites and Course Outline.mp4 1.8 MBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/11. Summary.mp4 1.8 MBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/1. Module Overview.mp4 1.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/6. Summary and Further Study.mp4 1.8 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/9. Summary.mp4 1.8 MBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/1. Module Overview.mp4 1.8 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/01. Module Overview.mp4 1.8 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/1. Introducing Case Study.mp4 1.7 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/1. Module Overview.mp4 1.7 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/1. Module Overview.mp4 1.7 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/2. Module Overview.mp4 1.7 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/9. Module Summary.mp4 1.6 MBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/1. Module Overview.mp4 1.6 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/7. Module Summary.mp4 1.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/1. Introducing Demo - The Houses Price.mp4 1.6 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/01. Module Overview.mp4 1.6 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/01. Module Overview.mp4 1.6 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/1. Introducing Demo - Mixing All Together.mp4 1.6 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/1. Overview.mp4 1.5 MBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/1. Module Overview.mp4 1.5 MBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/2. Module Overview.mp4 1.5 MBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/7. Summary.mp4 1.5 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/2. Introducing Demo - Selecting the Best Coffee.mp4 1.4 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/6. Summary.mp4 1.3 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/6. Summary.mp4 1.3 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/5. Summary.mp4 1.3 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/1. Overview.mp4 1.2 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/1. Overview.mp4 1.2 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/9. Summary.mp4 1.2 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/6. Summary.mp4 1.2 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/7. Summary.mp4 1.2 MBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/9. Summary.mp4 1.1 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/5. Summary.mp4 1.0 MBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/8. Summary.mp4 1.0 MBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/8. Summary.mp4 946.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/1. Introducing Demo - The Housing Problem.mp4 940.6 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/1. Introducing ANOVA.mp4 813.9 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/1. Overview.mp4 748.6 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/6. Summary.mp4 676.4 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/6. Summary.mp4 620.4 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/1. Version Check.mp4 587.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/1. Version Check.mp4 581.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/01. Version Check.mp4 558.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/1. Version Check.mp4 552.2 kB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.vtt 14.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.vtt 14.5 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.vtt 13.3 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.vtt 12.9 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/6. Building and Training a Regression Model for Price Prediction.vtt 12.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/08. Transform Data Using a Spark Activity.vtt 11.8 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.vtt 11.8 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/7. Deploying the Model.vtt 11.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.vtt 11.3 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/5. Calculating a Priori Probabilities of Survival on the Titanic.vtt 11.2 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/4. Hypothesis Testing.vtt 11.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.vtt 11.1 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/07. Visualizing Insights Using Azure Data Studio.vtt 11.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/5. Preparing and Processing Data.vtt 11.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/3. Excel - Identifying and Eliminating Outliers Using Z-scores.vtt 10.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/4. Understanding Descriptive Statistics.vtt 10.7 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/4. Applying Bayes Theorem to Make Predictions.vtt 10.5 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/5. Loading Data from Blob Storage to SQL Warehouse Using Azure Data Factory.vtt 10.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/10. Handling Imbalanced Data with Scikit Learn.vtt 10.4 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/6. Load Data Using Azure Data Factory.vtt 10.3 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/2. Overfitting and Techniques to Mitigate Overfitting.vtt 10.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.vtt 10.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/6. Identifying and Coping with Outliers.vtt 10.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/4. Finding and Connecting Dots - Data Collection and Analysis.vtt 10.1 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/6. Python - Working with Missing Values on Real World Data.vtt 10.1 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.vtt 10.1 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/2. Data Silos and Possible Solutions to Silos.vtt 10.0 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.vtt 10.0 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.vtt 10.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/2. Creating an Azure SQL Database.vtt 10.0 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/7. Model Selection - Let the Simplest Model Win.vtt 10.0 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/6. Does the Distribution Change in a Sample.vtt 9.9 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/2. Model Performance Strategy.vtt 9.9 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/3. Configuring a Self-hosted Integration Runtime.vtt 9.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/4. Calculating Descriptive Statistics Using Python Libraries.vtt 9.8 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/4. Hyperparameter Tuning a Decision Forest Classifier.vtt 9.8 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/2. Clustering - Hierarchical and Non-hierarchical.vtt 9.8 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.vtt 9.7 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/07. Box Plots and Violin Plots.vtt 9.4 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/09. Drawing Funnel Charts.vtt 9.3 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/3. Types of Windows.vtt 9.3 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/5. Preprocessing and Preparing Data.vtt 9.2 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/06. Performing Analysis Using Bucketing and Pivot Charts.vtt 9.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/3. Supervised Learning - When We Learn from History.vtt 9.2 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/02. Transactional and Analytical Processing on Azure.vtt 9.1 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/8. Demo - Revisiting Selecting the Best Coffee Video.vtt 9.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/5. Data Transformation Using Azure Machine Lear.vtt 9.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.vtt 8.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/7. Python - Identifying and Removing Outliers.vtt 8.9 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.vtt 8.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/5. Uploading Data to Blob Storage and Creating a Data Factory.vtt 8.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/03. Bubble Charts.vtt 8.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/04. Scatter Plots, Joint Plots, Hexbin Plots for Univariate An.vtt 8.7 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/6. Demo - The Houses Price.vtt 8.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/04. Join Tables Using Power Query.vtt 8.6 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/7. Demo - Making Our First Statistical Test.vtt 8.6 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/3. Calculating Descriptive Statistics Using Python.vtt 8.5 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/2. Getting Started with Azure ML Studio.vtt 8.4 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/5. Dealing with Missing Values - Deletion and Imputation.vtt 8.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.vtt 8.4 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/6. Tuning Hyperparameters and Interpreting the Model.vtt 8.4 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/5. Demo - Implementing GD and SGD.vtt 8.4 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/5. Python - Filling Missing Values.vtt 8.3 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/3. Loading and Visualizing Data.vtt 8.3 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/5. Demo - Mixing all Together.vtt 8.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/5. Visualizing Data Using Power BI.vtt 8.2 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/8. Regression on Multivariate Data Using Statsmodels and scikit-lea.vtt 8.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/4. Building and Registering the Model.vtt 8.2 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/7. Designing a Machine Learning Experiment.vtt 8.0 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/3. Retraining Model with Automated Machine Learning.vtt 8.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/6. Vertical and Horizontal Scaling.vtt 8.0 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/07. Pivot Tables for Summary Statistics.vtt 7.9 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/06. Visualizing Statistical Data.vtt 7.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/2. Batch and Streaming Data.vtt 7.8 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/3. Making Things Faster - Feature Scaling and Learning Rates.vtt 7.7 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/1. What Is Statistics.vtt 7.7 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/05. Regression Analysis on Bivariate Data.vtt 7.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/2. Hyperparameter Optimization - TrainDevTest Sets.vtt 7.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/2. Finding the Minima - GD and SGD.vtt 7.7 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/5. Monitoring Data Drift.vtt 7.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/07. Handling Missing Values.vtt 7.6 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/06. Representing Pairwise Relationships Using the Pairplot and.vtt 7.6 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/03. Numeric Representations of Text Data.vtt 7.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/6. Joins.vtt 7.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/05. Identifying and Coping with Outliers.vtt 7.5 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.vtt 7.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/3. A Priori and Conditional Probabilities to Classify Data.vtt 7.5 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/1. Distance and Covariance Matrices.vtt 7.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/5. Measures of Central Tendency and Dispersion.vtt 7.5 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/5. Tuning and Scoring Multiple Models.vtt 7.4 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/4. Connecting the Dots - Combining and Shaping Data.vtt 7.4 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/2. If You Need to Classify, Try the Star - Logistic Regression in Depth!.vtt 7.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/4. Exploring Relationships in Data.vtt 7.3 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/03. Creating an Azure SQL Data Warehouse and Uploading Files to Azure Blob Sto.vtt 7.3 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/4. Loading and Querying CSV Data.vtt 7.3 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/3. Compression - PCA and CA.vtt 7.3 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/03. Histograms, KDE Plots, and Rug Plots for Univariate Analys.vtt 7.3 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/7. Demo - Evaluate a Regression Model.vtt 7.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/2. When the World Is Not Linear, You Just Linearize!.vtt 7.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/4. T Test - Estimate the Chance of Equal!.vtt 7.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/5. Continuous and Discrete Distribution Functions.vtt 7.2 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/7. Visualizing Streaming Data Using Power BI.vtt 7.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/3. Normalization.vtt 7.1 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/8. Covariance Matrices and Correlation Matrices.vtt 7.1 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/2. Intuition behind Bayes Theorem.vtt 7.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/02. Data Cleaning - Missing Data and Outliers.vtt 7.1 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/3. Accuracy, Precision, and Recall.vtt 7.1 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/04. Visualizations and Use Cases.vtt 7.0 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/2. Unsupervised Learning - I Don’t Wanna Miss a Thing!.vtt 7.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/3. SQL Server Management Studio.vtt 7.0 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/2. Overfitting - A Great Responsibility Conveys a Great Regularization.vtt 7.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/6. ANOVA.vtt 7.0 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/08. Cleaning Data.vtt 6.9 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/6. Configuring Input and Output for the Stream Analytics Job.vtt 6.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/06. Installing and Working with Azure Data Studio.vtt 6.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/5. Transactional and Analytical Processing.vtt 6.8 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/3. Demo - Linear Regression with Regularization.vtt 6.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/08. Installing and Visualizing Data in Power BI.vtt 6.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/4. Watermarks and the Notion of Time.vtt 6.7 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/08. Visualizing Data Using Box Plots and Violin Plots.vtt 6.6 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/11. Stacked Plots and Stem Plots.vtt 6.6 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/2. Selecting the Appropriate Model.vtt 6.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/06. Detecting Outliers Using Z-scores.vtt 6.5 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/2. Loading Data to an On-premises SQL Server.vtt 6.4 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/09. Visualizing Categorical Data Using Bar Plots, Point Plots,.vtt 6.4 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/2. Goodness of Fit - Let’s Test if This Follows The Pattern!.vtt 6.4 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/09. Working with Imbalanced Data.vtt 6.4 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/09. Covariance and Correlation Matrices for Multivariate Data.vtt 6.4 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/08. Performing Regression Analysis on Bivariate Data.vtt 6.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/09. Pie Charts.vtt 6.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/7. Confidence Interval - The Other Face of the Coin.vtt 6.2 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/2. Visualizing Univariate Distributions.vtt 6.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/4. Demo - Perform Polynomial Regression.vtt 6.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/3. Demo - The Housing Problem - Part 1.vtt 6.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/3. Demo - Installing Jamovi.vtt 6.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/1. How to Learn in Machine Learning Cost Functions!.vtt 6.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/2. Demo - Multilabel Intent Classification with Naive Bayes.vtt 6.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/4. The ROC Curve.vtt 6.0 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/3. Demo - Salary Fairness.vtt 6.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.vtt 5.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/02. Understanding Kernel Density Estimation.vtt 5.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/05. Using Pivot Tables for Summary Statistics.vtt 5.9 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/1. What Does the Boundary Look Like.vtt 5.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/1. Module Overview.vtt 5.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/6. Bivariate Analysis.vtt 5.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/5. Creating a Stream Analytics Job and a Power BI Pro Account.vtt 5.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/7. Batch and Streaming Data.vtt 5.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/4. Basic Probability and Random Variables.vtt 5.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/04. Loading Data from Blob Store to the Data Warehouse.vtt 5.7 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/4. Uploading a File to Azure Blob Storage.vtt 5.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/3. Loading Data to Azure Blob Storage.vtt 5.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/4. Passing from Linear Boundaries to Nonlinear Ones - Kernel Trick.vtt 5.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/08. Unpivot Tables.vtt 5.6 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.vtt 5.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/06. Enabling Resource Permissions to an Azure Active Directory App.vtt 5.6 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/04. Bubble Maps for Geographical Data.vtt 5.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/4. Creating an Azure SQL Database and Tables.vtt 5.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/10. Visualizing Multivariate Data Using Pivot Charts.vtt 5.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/3. Minimum Squares Estimation - Find the Linear Part.vtt 5.5 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/3. Alternative Hypothesis and Null Hypothesis.vtt 5.4 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/7. Box Plots, Violin Plots, and Factor Plots.vtt 5.4 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/3. Statistical Hypothesis - What Am I Missing.vtt 5.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/03. Singular Cross-validation.vtt 5.3 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/3. Large Margin Classification - Outliers!.vtt 5.3 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/6. What No One Talks About - Assumptions.vtt 5.3 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/5. Demo - Selecting the Best Coffee.vtt 5.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/1. Maximizing the Actual Information - Bayesian Attack!.vtt 5.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/1. Back to the Basics - Linear Regression Again.vtt 5.2 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/07. Visualizing Categorical Data Using Strip Plots and Swarm P.vtt 5.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/02. Continuous and Categorical Data.vtt 5.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/4. Excel - Clamping Outliers.vtt 5.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/4. Training and Testing Data Subsets.vtt 5.1 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/3. Visualizing Bivariate Relationships.vtt 5.1 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/7. Measuring Relationships Using Covariance.vtt 5.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/playlist.m3u 5.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/2. Azure Machine Learning Services Overview.vtt 5.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/2. Standardization.vtt 5.0 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/7. Performing Join Operations in SQL.vtt 5.0 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/8. Demo - Comparing Models.vtt 5.0 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/4. Pairwise Relationships.vtt 5.0 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/1. Module Overview.vtt 4.9 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/10. Sankey Diagrams.vtt 4.9 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/5. Demo - Comparing Means.vtt 4.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/playlist.m3u 4.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/8. Python - Training an ML Classifier Using the Cleaned Dataset.vtt 4.9 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/02. Loading XML Data.vtt 4.8 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/5. T-tests.vtt 4.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/10. Visualizing Autocorrelation.vtt 4.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/06. Interactive Time Series Charts.vtt 4.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/09. Copying Data from a Blob Storage Folder.vtt 4.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/04. Combining and Shaping Data Using Pandas.vtt 4.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/2. What Are Estimators.vtt 4.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/07. Candlestick Charts for Stock Price Movements.vtt 4.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/5. Calculating Skewness Kurtosis and Simple Visualizations.vtt 4.7 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/08. Histograms.vtt 4.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/4. Demo.vtt 4.6 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/4. Classify Multiple Categories - One vs. All Classification.vtt 4.6 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/04. Representing Image Data as Matrices.vtt 4.6 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/3. Decision Trees.vtt 4.6 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/6. Applying Bayes Rule Using the Naive Bayes Classifier.vtt 4.6 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/3. Connecting the Dots with Data.vtt 4.6 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/04. Visualizing Univariate Statistics.vtt 4.6 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/3. Null Hypothesis of ANOVA.vtt 4.5 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/6. Demo - Perform a Spline Regression.vtt 4.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/07. Visualizing Bivariate Relationships.vtt 4.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/4. The Output of ANOVA.vtt 4.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/7. Simple Regression on Bivariate Data Using Scipy.vtt 4.5 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/5. Regression Plots.vtt 4.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/2. The Power of Regression.vtt 4.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/6. Querying Data in SQL Using Aggregations.vtt 4.4 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/11. Regression Analysis with Multivariate Data.vtt 4.4 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/05. Heatmaps.vtt 4.4 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/1. Non-linear Regression - Polynomial Features.vtt 4.4 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/08. Funnel Charts and SVG Paths.vtt 4.4 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/8. Performing Pivot and Unpivot Operations in SQL.vtt 4.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/4. Copying Data from On-premises SQL Server to SQL Data Warehouse.vtt 4.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/1. Getting Started with Machine Learning.vtt 4.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/7. Checking Homoscedasticity - Levene and ANOVA Inception.vtt 4.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/playlist.m3u 4.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/4. Binning.vtt 4.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/4. How It All Fits - Going Back to the Model!.vtt 4.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/4. Choosing the Right Encoding Method.vtt 4.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/5. Wide Form and Long Form Data.vtt 4.0 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/5. Demo - Multiclass Classification with Multinomial Logistic Regression.vtt 4.0 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/5. The Assumptions of Regression.vtt 4.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/09. Creating Different Visualizations in Power BI.vtt 4.0 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/3. Setting up an Azure SQL Data Warehouse.vtt 3.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/6. Understanding Variance.vtt 3.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/8. Event Time, Ingestion Time, and Processing Time.vtt 3.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/02. Working with Excel Workbooks.vtt 3.9 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/3. Demo - Perform Simple Linear Regression.vtt 3.9 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/05. Convert CSV Data to Table Format.vtt 3.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/playlist.m3u 3.8 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/05. Azure Data Products.vtt 3.8 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/3. Identifying and Sourcing the Relevant Data.vtt 3.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/4. Normality Tests.vtt 3.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/playlist.m3u 3.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/playlist.m3u 3.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/5. Demo - Classify Iris with SVM.vtt 3.7 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/2. T Distribution - When the Variance Is Unknown.vtt 3.7 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/2. Getting Started with Azure Notebooks.vtt 3.7 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/playlist.m3u 3.6 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/6. What if I Am Mistaken.vtt 3.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/07. Python Script to Transform Data Using Pyspark.vtt 3.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/7. Aggregations.vtt 3.6 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/6. Assumptions of the Model - Hetero-what!.vtt 3.6 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/2. Factors of a Well Defined Hypothesis.vtt 3.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/06. Convert Wide Form Data to Long Form.vtt 3.5 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/03. Getting Started with Azure Notebooks.vtt 3.4 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/5. Feature Scaling.vtt 3.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/1. Module Overview.vtt 3.4 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/6. Strip Plots and Swarm Plots.vtt 3.3 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/8. Summary.vtt 3.3 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/2. Hyperparameter Tuning.vtt 3.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/3. Tukey Comparisons - I Want It All.vtt 3.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/5. Demo - Perform Multiple Linear Regression.vtt 3.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/2. Why Don’t You Use Multiple T Tests.vtt 3.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/5. Outliers Strike Again - Spline Regression as Local Regressor.vtt 3.2 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/05. Getting Started with Azure Notebooks.vtt 3.2 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/2. Introducing the Azure SQL Database.vtt 3.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/1. Module Overview.vtt 3.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/4. Demo - Perform PCA.vtt 3.1 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/4. Demo - The Housing Problem - Part 2.vtt 3.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/3. Dependent and Independent Variables.vtt 3.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/4. What if I Want More Variables Multiple Regression to the Rescue!.vtt 3.0 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/1. Course Overview/1. Course Overview.vtt 3.0 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/6. Summary.vtt 3.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 2.9 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt 2.9 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/02. Cross-validation in the ML Workflow.vtt 2.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.vtt 2.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/4. Planned Contrasts - When You Need More Potency.vtt 2.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/03. Aggregation Operations.vtt 2.7 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.vtt 2.7 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/4. Monitoring the Model.vtt 2.5 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/6. Summary.vtt 2.5 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/1. Course Overview/1. Course Overview.vtt 2.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/10. Summary and Further Study.vtt 2.5 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/6. Common Feature Selection Techniques.vtt 2.5 kB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/~i.txt 2.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/3. Prerequisites and Course Outline.vtt 2.5 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/10. Summary and Further Study.vtt 2.5 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/8. Summary.vtt 2.5 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/playlist.m3u 2.5 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/5. Hypothesis Acceptance Criteria.vtt 2.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/1. Module Overview.vtt 2.4 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/8. Summary and Further Study.vtt 2.4 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/7. Summary.vtt 2.4 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/1. Overview.vtt 2.4 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/4. Prediction and Extrapolation.vtt 2.3 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/~i.txt 2.3 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/5. Metrics for Model Classification Optional.vtt 2.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/8. Module Summary.vtt 2.3 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/5. Course Wrap Up.vtt 2.3 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/3. Prerequisites and Course Outline.vtt 2.3 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/8. Summary.vtt 2.3 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/11. Summary.vtt 2.3 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/03. Prerequisites and Course Outline.vtt 2.2 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/~i.txt 2.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/4. Key Performance Indicators Required.vtt 2.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/1. Introducing Demo - Salary Fairness.vtt 2.2 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/~i.txt 2.2 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/01. Module Overview.vtt 2.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/1. Course Overview/1. Course Overview.vtt 2.2 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/7. Summary.vtt 2.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/3. Azure ML - Classification Model Options.vtt 2.2 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/10. Summary.vtt 2.1 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/2. Thinking Like a Statistician/8. Summary.vtt 2.1 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/4. Collecting Data to Extract Insights/9. Summary.vtt 2.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/5. Combining and Shaping Data Using Python/01. Module Overview.vtt 2.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/10. Summary.vtt 2.1 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/10. Summary.vtt 2.1 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/12. Module Summary.vtt 2.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/3. Prerequisites and Course Outline.vtt 2.1 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/5. Loading and Processing Data Using Relational Databases/7. Summary.vtt 2.1 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/6. Summary and Further Study.vtt 2.1 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/9. Summary.vtt 2.1 kBC2. Communicating Data Insights (Janani Ravi, 2020)/~i.txt 2.1 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/2. Prerequisites and Course Outline.vtt 2.1 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/8. Summary.vtt 2.0 kBC2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/1. Module Overview.vtt 2.0 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/9. Summary.vtt 2.0 kBC2. Communicating Data Insights (Janani Ravi, 2020)/3. Communicating Insights from Business Data/11. Summary.vtt 2.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/5. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.vtt 2.0 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/12. Summary.vtt 2.0 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/6. Summary and Further Study.vtt 1.9 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/7. Working with Streaming Data Using a Data Warehouse/1. Module Overview.vtt 1.9 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/~i.txt 1.9 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/7. Module Summary.vtt 1.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/2. Module Overview.vtt 1.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/5. Understanding and Applying Bayes Rule/1. Module Overview.vtt 1.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/01. Module Overview.vtt 1.8 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/1. Module Overview.vtt 1.8 kBB2. Experimental Design for Data Analysis (Janani Ravi, 2019)/2. Designing an Experiment for Data Analysis/1. Module Overview.vtt 1.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/7. Predicting Linear Relationships with Regression/1. Introducing Demo - The Houses Price.vtt 1.8 kBC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/02. Module Overview.vtt 1.8 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/4. Summarizing Data and Deducing Probabilities Using Python/9. Module Summary.vtt 1.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/1. Module Overview.vtt 1.8 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/~i.txt 1.8 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/01. Module Overview.vtt 1.7 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/1. Module Overview.vtt 1.7 kBC2. Communicating Data Insights (Janani Ravi, 2020)/4. Visualizing Distributions and Relationships in Data/1. Module Overview.vtt 1.7 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/3. Testing a Hypothesis/1. Introducing Case Study.vtt 1.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/~i.txt 1.7 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/2. Module Overview.vtt 1.7 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/6. Representing Insights Obtained from Data/01. Module Overview.vtt 1.7 kBC2. Communicating Data Insights (Janani Ravi, 2020)/6. Integrating Data in a Hybrid Environment/1. Module Overview.vtt 1.7 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/01. Module Overview.vtt 1.7 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/1. Course Overview/1. Course Overview.vtt 1.7 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/7. Large Margin and Bayesian Classification/6. Summary.vtt 1.6 kBA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/2. Module Overview.vtt 1.6 kBA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/7. Summary.vtt 1.6 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/6. Summary.vtt 1.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/2. Introducing Demo - Selecting the Best Coffee.vtt 1.5 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/1. Overview.vtt 1.5 kBB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/6. Visualizing Probabilistic and Statistical Data Using Seaborn/01. Module Overview.vtt 1.5 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/4. Comparing Categorical Values with Frequency Analysis/5. Summary.vtt 1.4 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/6. Comparing Groups and Effects with ANOVA/1. Introducing Demo - Mixing All Together.vtt 1.2 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/1. Overview.vtt 1.2 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/9. Summary.vtt 1.2 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/2. Getting Started with Machine Learning/5. Summary.vtt 1.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/5. Understanding Regression Models in Depth/9. Summary.vtt 1.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/1. Overview.vtt 1.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/3. Sourcing and Transforming Data Relevant to a Hypothesis/6. Summary.vtt 1.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/7. Summary.vtt 1.1 kBD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/2. Creating a Hypothesis/6. Summary.vtt 1.1 kBD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/4. Predicting Linear Relationships with Regression/8. Summary.vtt 1.0 kBC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/8. Predicting Non-linear Relationships with Regression/1. Introducing Demo - The Housing Problem.vtt 896 BytesD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/3. Finding Those Models/6. Summary.vtt 881 BytesD1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/6. Summary.vtt 839 BytesD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/8. Summary.vtt 814 BytesD2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/6. Monitoring and Managing the Performance of a Model/1. Overview.vtt 788 BytesC1. Interpreting Data with Statistical Models (Axel Sirota, 2020)/5. Analyzing Experiments with ANOVA/1. Introducing ANOVA.vtt 655 BytesA1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/2. Understanding Data Cleaning and Preparation Techniques/1. Version Check.vtt 7 BytesA2. Combining and Shaping Data (Janani Ravi, 2020)/2. Exploring Techniques to Combine and Shape Data/1. Version Check.vtt 7 BytesB1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/2. Understanding Descriptive Statistics for Data Analysis/1. Version Check.vtt 7 BytesC2. Communicating Data Insights (Janani Ravi, 2020)/2. Communicating Insights from Statistical Data/01. Version Check.vtt 7 Bytes Pluralsight - Pluralsight Originals - Design from... 406.7 MB [FreeCoursesOnline.Me] Pluralsight - Pluralsight... 691.1 MB [CourseClub.Me] Pluralsight - Pluralsight - VueJS Learning Path 2.4 GB Pluralsight - Exploring C Sharp 6 with Jon Skeet 860.3 MB Pluralsight - Java Platform - Working with Databases Using JDBC 422.5 MB
PluralSight Ethical Hacking Hacking Web Servers... 400.3 MB [Pluralsight] Introduction to Visual Studio 2013 - Part I 847.4 MB Pluralsight - WCF Power Topics 1.7 GB Pluralsight - Authoring Sci-fi Visual Effects in Unity 5 760.2 MB PluralSight Design Patterns Library tutorialkhan.com.rar 1.9 GB
Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载
WEB
DL
DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载
WEB
DL
Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载
WEB
DL
Star
新桥恋人.电影港 地址发布页 www.dygang.me 收藏不迷路 4365次下载
me
www
发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载
KiNGDOM
WEB
DL
www.UIndex.org - ... 4126次下载
www
MeGusta
HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载
WEB
DL
2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载
Live
Remastered
Hits
Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载
zip
巨乳
CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载
S05E02
HEVC
720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载
982108028
mod
play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载
web
last
h264
异世降临.6v电影 地址发布页 www.6v123.net 收藏不迷路 5220次下载
www
发布页
6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载
WEB
DL
S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载
HEVC
Andor
mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载
WEB
DL
DDP5
Shoot.Paragon.1970.DVDRip.XviD-AFO [NO-RAR] -...
Shoot
www
AFO
DASS-041-U
DASS
041
www.UIndex.org - Andy Richter Controls...
www
Episode
S01E04
[AniDub]_Sora_Kara_Furu_Ichioku_no_Hoshi_[Oriko_Qbiq]
Furu
no
Oriko
[BEST-TORRENTS.COM]...
Cheese
DL
2160p
【成人抖音-黑料-换妻-直播-手机搜7t7a.cc】麻豆传媒映画・爆操黑丝车模小姐姐・超级圆润...
麻豆
小姐姐
车模
Por siempre [HDTV 720p][Cap.106]
siempre
720p
Cap
Workaholics.S04E01.Season.4.Episode.1.WEBRip.72...
Workaholics
Episode
HoC
MobLand.S01E01.1080P.ENG.ITA.H264-TheBlackKing.mkv
ENG
H264
ITA
43606101 - Public Dick Flash Compilation..mp4
Dick
..
Compilation
吃瓜！去欧美留学的林淑瑶 ️被欧美大鸡巴驯化3P大战被洋吊深喉狂艹！
欧美
3P
被洋
Hellraiser III Hell On Earth 1992 1080p BluRay...
5.1
1992
AAC
Ghosts S04E21 Kyle 1080p PMTP WEB-DL DDP5 1 H...
WEB
DL
STC
[Gecko] Araiguma Calcal-dan - S01E07...
WEB
DL
AAC
salamander-2-salamander-deluxe-pack-play-statio...
salamander
play
full
Catalina Cruz live cam show pack
Catalina
show
live
SDMU-534
534
SDMU
dccdom.com@MIDV111C
com
MIDV111C
dccdom