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【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB

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【影视】 2020 AWS SageMaker, AI and Machine Learning - With Python

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2020 AWS SageMaker, AI and Machine Learning - With Python/11 E9 SageMaker HyperParameter Tuning/104 Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/085 Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/019 E9 Data Types - How to handle mixed data types.mp4 106.9 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/033 Multiclass Classifier.mp4 104.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/05 2020 SageMaker Service Overview/037 DataFormat.mp4 97.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/08 SageMaker - Factorization Machines/078 Demo - Movie Recommender Data Preparation.mp4 95.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/083 DeepAR Training and Inference Formats.mp4 93.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/025 Regression Model Performance.mp4 91.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/020 E9 Introduction to Python Notebook Environment.mp4 89.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/12 2020 Artificial Intelligence (AI) Services/118 7. Amazon Rekognition.mp4 89.0 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/01 Introduction and Housekeeping/008 2020 Configure IAM Users Setup Command Line Interface (CLI).mp4 88.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/101 Microservice - API Gateway Lambda to Endpoint.mp4 88.2 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/06 E9 XGBoost - Gradient Boosted Trees/044 E9 Lab - Training Simple Regression.mp4 87.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/021 E9 Introduction to working with Missing Data.mp4 85.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/086 Demo - Bike Rental Model Training.mp4 81.0 MB
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2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/100 Microservice - Lambda to Endpoint.mp4 77.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/15 2020 Storage for Servers/156 2020 Elastic Block Store (EBS).mp4 77.4 MB
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【影视】 [FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB

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【影视】 Cluster Analysis & Unsupervised Machine Learning in R

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[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/2. Import images and their visualization in Earth Engine.mp4 148.8 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/5. Interface of Google Earth Engine Code Editor & Explorer.mp4 133.3 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/5. Unsupervised Learning K-Means Clustering/3. K-means clustering Application to email marketing.mp4 116.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/3. Unsupervised K-means satellite image analysis in Earth Engine for mapping.mp4 108.7 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/6. More Unsupervised Clustering techniques Hands-On/1. Starting with Fuzzy K-means in R.mp4 107.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/5. Unsupervised Learning K-Means Clustering/5. Model-based Unsupervised Clustering in R.mp4 78.2 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/8. Independent Project in Cluster Analysis based on Case Study/2. Project Assignment.mp4 71.6 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/1. Understanding using satellite images for mapping tasks short introduction.mp4 66.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/6. More Unsupervised Clustering techniques Hands-On/2. Entropy Weighted K-Means in R.mp4 64.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/2. Selecting the number of clusters for unsupervised Clustering methods (K-Means).mp4 62.2 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/8. Independent Project in Cluster Analysis based on Case Study/1. Introduction to Case Study.mp4 60.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/5. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/1. Introduction/2. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/4. Sign up for Google Earth Engine (needed for your projects later in the course).mp4 47.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/1. How to assess a Clustering Tendency of the dataset.mp4 44.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/3. Assessing the performance of unsupervised learning (clustering) algorithms.mp4 40.3 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/7. Functions in R - overview.mp4 34.8 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/10. Read Data into R.mp4 33.5 MB

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【影视】 [DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

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BDMV/BACKUP/PLAYLIST/00001.mpls 394 Bytes
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