magnet:?xt=urn:btih:52E612F0A0CCC33686659FE4E9DB5E99D0C07EC6
21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples).mp4 392.3 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL).mp4 266.6 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models.mp4 258.2 MB14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning).mp4 256.6 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker.mp4 241.8 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types.mp4 220.7 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff.mp4 215.6 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm.mp4 200.8 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4 191.6 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview.mp4 188.3 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker.mp4 179.2 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA).mp4 159.9 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits.mp4 157.4 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK.mp4 152.8 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture.mp4 150.5 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101.mp4 149.1 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4 142.6 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3.mp4 137.4 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression).mp4 133.5 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression).mp4 131.7 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot.mp4 131.5 MB14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101.mp4 130.8 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101.mp4 128.1 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK.mp4 127.8 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101.mp4 127.6 MB14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions.mp4 121.6 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm.mp4 119.4 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions.mp4 115.6 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo.mp4 114.8 MB26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization).mp4 110.0 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting.mp4 109.5 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution.mp4 108.9 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2.mp4 107.7 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console.mp4 106.5 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview.mp4 105.1 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1.mp4 104.2 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint.mp4 103.9 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2.mp4 103.7 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101.mp4 103.4 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations.mp4 101.9 MB38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101.mp4 101.1 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization.mp4 100.3 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression).mp4 100.0 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon.mp4 97.6 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution.mp4 95.4 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm.mp4 93.6 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot.mp4 90.9 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis.mp4 90.6 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup.mp4 90.6 MB23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint.mp4 90.5 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101.mp4 90.4 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker.mp4 89.0 MB26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1.mp4 88.5 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2.mp4 86.9 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies.mp4 86.3 MB26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker.mp4 86.0 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning.mp4 85.9 MB38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101.mp4 84.8 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1.mp4 84.4 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment.mp4 84.3 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2.mp4 83.5 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms.mp4 82.9 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2.mp4 82.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions.mp4 81.7 MB14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling.mp4 81.1 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1.mp4 81.0 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance.mp4 78.3 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector).mp4 77.6 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101.mp4 77.4 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview.mp4 77.2 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks.mp4 77.2 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1.mp4 75.1 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review].mp4 74.7 MB23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload.mp4 74.7 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card.mp4 74.4 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview.mp4 74.0 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1.mp4 73.6 MB23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart.mp4 72.9 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview.mp4 71.6 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity.mp4 71.5 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint.mp4 70.3 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib.mp4 70.3 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization.mp4 70.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap.mp4 69.6 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets.mp4 69.2 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization.mp4 69.1 MB38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution.mp4 67.9 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance.mp4 67.5 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs.mp4 66.6 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs.mp4 66.6 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics.mp4 66.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML.mp4 66.6 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing.mp4 66.5 MB31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code.mp4 66.2 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1.mp4 66.0 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution.mp4 65.8 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour.mp4 65.7 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2.mp4 65.7 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1.mp4 65.5 MB31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT.mp4 65.2 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101.mp4 65.1 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models.mp4 65.1 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis.mp4 64.8 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2.mp4 64.6 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions.mp4 64.6 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets.mp4 64.3 MB31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT.mp4 64.3 MB26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance.mp4 64.2 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm.mp4 64.1 MB14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding.mp4 63.3 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1.mp4 62.9 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4.mp4 62.7 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint.mp4 62.5 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning.mp4 61.9 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN).mp4 61.5 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier.mp4 61.2 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization.mp4 60.9 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame.mp4 60.8 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn.mp4 60.5 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview.mp4 60.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business.mp4 59.8 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model.mp4 59.4 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets.mp4 59.3 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters.mp4 58.9 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones.mp4 58.3 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV.mp4 58.2 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1.mp4 57.9 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2.mp4 57.3 MB23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2.mp4 57.0 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth.mp4 57.0 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics.mp4 57.0 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares.mp4 56.9 MB31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT.mp4 56.9 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1.mp4 56.7 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1.mp4 56.0 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2.mp4 55.9 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2.mp4 55.2 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering.mp4 55.0 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup.mp4 54.4 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101.mp4 53.9 MB23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1.mp4 53.6 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization.mp4 53.4 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM).mp4 53.1 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization.mp4 52.8 MB14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance.mp4 52.3 MB26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization).mp4 52.2 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8.mp4 51.8 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1.mp4 51.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets.mp4 51.4 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase.mp4 51.3 MB31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT.mp4 51.0 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution.mp4 50.7 MB14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3.mp4 50.7 MB31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT.mp4 50.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1.mp4 50.3 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge.mp4 50.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1.mp4 50.0 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution.mp4 49.8 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5.mp4 49.8 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms.mp4 49.7 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker.mp4 49.6 MB14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table.mp4 49.4 MB26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview.mp4 49.0 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3.mp4 48.9 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2.mp4 48.8 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1.mp4 48.1 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models.mp4 47.9 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution.mp4 47.8 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA.mp4 47.8 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5.mp4 47.4 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset.mp4 46.3 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2.mp4 46.2 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset.mp4 45.8 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo.mp4 45.1 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions.mp4 45.0 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code.mp4 44.8 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101.mp4 44.7 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview.mp4 44.2 MB38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function.mp4 44.2 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution.mp4 44.2 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost.mp4 43.7 MB26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data.mp4 43.6 MB38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function.mp4 43.5 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling.mp4 43.3 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc().mp4 43.3 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model.mp4 43.2 MB23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview.mp4 43.0 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions.mp4 42.6 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model.mp4 42.5 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon.mp4 41.9 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training.mp4 41.7 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame.mp4 41.6 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!.mp4 41.4 MB14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101.mp4 41.3 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset.mp4 40.8 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview.mp4 40.2 MB31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code.mp4 40.1 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card.mp4 40.0 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon.mp4 39.7 MB26 - Day 20 Hyperparameters Optimization in SageMaker/012 Final Capstone Project Solution Part 2.mp4 39.7 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/021 Final Capstone Project Solution Part 3.mp4 39.6 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting.mp4 39.6 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question.mp4 39.3 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS.mp4 39.2 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5.mp4 39.0 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution.mp4 38.9 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education.mp4 38.7 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6.mp4 38.5 MB31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4.mp4 38.0 MB26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4.mp4 37.9 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution.mp4 37.9 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/018 Practice Opportunity 4.mp4 37.8 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4.mp4 37.8 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/017 Practice Opportunity 7.mp4 37.7 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas.mp4 37.3 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/015 Practice Opportunity 6.mp4 37.0 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/012 Final Capstone Project Solution.mp4 35.9 MB14 - Day 10 Amazon SageMaker Data Wrangler/014 Data Wrangler Demo 7 - Export Dataflow.mp4 35.7 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/017 Practice Opportunity 4.mp4 35.5 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/003 Project Overview.mp4 35.3 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview.mp4 35.2 MB31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT.mp4 35.1 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets.mp4 34.9 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/012 Practice Opportunity 3.mp4 34.9 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/020 Coding Task 8 - Hyperparameters Optimization Using Bayesian Optimizers.mp4 34.8 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1.mp4 33.3 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/005 SageMaker Autopilot Demo 1 - Upload Data and Train Model.mp4 33.2 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/012 Practice Opportunity #2.mp4 33.2 MB14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101.mp4 33.1 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import.mp4 32.9 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101.mp4 32.9 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib.mp4 32.8 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3.mp4 32.8 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources.mp4 32.5 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4 32.1 MB31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT.mp4 32.0 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar].mp4 32.0 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3.mp4 31.9 MB01 - Introduction/001 Welcome To the Course!.mp4 31.7 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/012 Coding Task 5 - Integer-based Indexing with .iLoc().mp4 31.5 MB14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization.mp4 31.3 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance.mp4 31.3 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question.mp4 30.6 MB26 - Day 20 Hyperparameters Optimization in SageMaker/004 Coding Task 1 - Import and Clean Datasets.mp4 30.4 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets.mp4 30.3 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/011 Practice Opportunity 4.mp4 30.3 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns.mp4 30.1 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing.mp4 29.9 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3.mp4 29.6 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/007 Practice Opportunity 2.mp4 29.3 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas.mp4 28.6 MB38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function.mp4 28.3 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap].mp4 28.2 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3.mp4 28.1 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn.mp4 28.1 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models.mp4 28.0 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model.mp4 27.9 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun.mp4 27.7 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/009 Coding Task 4 - Logistic Regression.mp4 27.5 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib.mp4 27.4 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions.mp4 27.4 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp4 27.2 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/003 Introduction and Project Overview.mp4 27.2 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/010 Practice Opportunity #2.mp4 27.0 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/013 Practice Opportunity 5.mp4 26.5 MB26 - Day 20 Hyperparameters Optimization in SageMaker/013 Final Capstone Project Solution Part 3.mp4 26.3 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn.mp4 26.1 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn.mp4 26.1 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models.mp4 26.1 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/011 Practice Opportunity 4.mp4 25.8 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/014 Coding Task 6 - Perform EDA on Both Classes.mp4 25.5 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/009 Practice Opportunity 2.mp4 25.3 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/017 Practice Opportunity 7.mp4 25.3 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card.mp4 24.8 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/013 Practice Opportunity 5.mp4 24.6 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames.mp4 24.6 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/017 Coding Task 6 - Plot Histograms in Matplotlib.mp4 24.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions.mp4 24.4 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question.mp4 24.3 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1.mp4 23.9 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/014 Coding Task 6 - Broadcasting Operation.mp4 23.6 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1.mp4 23.4 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance.mp4 23.2 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1.mp4 23.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3.mp4 22.8 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview.mp4 22.8 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training.mp4 22.5 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm.mp4 22.1 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis.mp4 21.7 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/015 Practice Opportunity 6.mp4 21.7 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101.mp4 21.6 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/005 Practice Opportunity 1.mp4 21.5 MB38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function.mp4 21.4 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/012 Practice Opportunity 3.mp4 21.3 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets.mp4 21.3 MB23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question.mp4 21.2 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/011 Practice Opportunity 3.mp4 21.0 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4.mp4 20.8 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/019 Coding Task 7 - Hyperparameters Using Random Search.mp4 20.8 MB26 - Day 20 Hyperparameters Optimization in SageMaker/010 Final Capstone Project Question.mp4 20.6 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/001 Day Welcome Message.mp4 20.1 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3.mp4 19.8 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/009 Practice Opportunity 2.mp4 19.7 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/018 Final Capstone Project Question.mp4 19.6 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/008 Coding Task 3 - Change Pandas DataFrame datatypes.mp4 19.4 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/009 Coding Task 1 - Import Libraries and Datasets.mp4 19.3 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/007 Practice Opportunity 2.mp4 18.9 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/010 Coding Task 3 - Prepare the data for Model Training.mp4 18.9 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/011 Practice Opportunity 2.mp4 18.7 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1.mp4 18.4 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/006 Coding Task 1 - Understand the Problem Statement and Load Data.mp4 18.1 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/008 Coding Task 1 - Project Overview and Import data.mp4 18.0 MB38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy.mp4 17.8 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/008 Practice Opportunity 1.mp4 17.7 MB23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model.mp4 17.5 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview.mp4 17.4 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message.mp4 17.4 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question.mp4 17.3 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview.mp4 17.3 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview.mp4 17.2 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/003 Project Overview.mp4 17.2 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications.mp4 16.9 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas.mp4 16.7 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/013 Practice Opportunity 2.mp4 16.6 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/018 Final Capstone Projects - Questions.mp4 16.4 MB38 - Day 29 Lambda Functions Using AWS Console/003 Introduction to AWS Lambda and Key Learning Outcomes.mp4 16.3 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/011 Final Capstone Project - Question.mp4 16.3 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1.mp4 16.2 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/009 Practice Opportunity 2.mp4 15.8 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/011 Coding Task 4 - Train KNN Model in SKLearn.mp4 15.8 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/018 Practice Opportunity 6.mp4 15.5 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes.mp4 15.5 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions.mp4 15.2 MB
08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/002 Text-Bounding-Boxes-Semantic-Labeling.zip 14.9 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA).mp4 14.8 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1.mp4 14.8 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions.mp4 14.6 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4.mp4 14.4 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib.mp4 14.3 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions.mp4 14.1 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/013 Practice Opportunity 3.mp4 14.0 MB38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question.mp4 13.8 MB14 - Day 10 Amazon SageMaker Data Wrangler/015 Data Wrangler Demo 8 - Shutdown Resources.mp4 13.8 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1.mp4 13.8 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question.mp4 13.7 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1.mp4 13.4 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance.mp4 13.2 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1.mp4 13.2 MB23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint.mp4 13.1 MB14 - Day 10 Amazon SageMaker Data Wrangler/003 Project Overview.mp4 13.0 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup.mp4 13.0 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3.mp4 12.9 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/007 Practice Opportunity 2.mp4 12.7 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/009 Practice Opportunity 3.mp4 12.7 MB14 - Day 10 Amazon SageMaker Data Wrangler/002 Data-Wrangler.zip 12.5 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/011 Final Capstone Project Question.mp4 12.4 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/012 Practice Opportunity #3.mp4 12.4 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib.mp4 12.2 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/010 Practice Opportunity 2.mp4 12.2 MB23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes.mp4 12.2 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar].mp4 12.1 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2.mp4 12.0 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/002 AWS-Essentials-Starter-Pack-Part-2.zip 11.8 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/002 AWS-Essentials-Starter-Pack-Part-3.zip 11.8 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/003 Project Overview.mp4 11.3 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question.mp4 11.3 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data.mp4 11.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2.mp4 11.1 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/002 XGboost-in-SKLearn.zip 11.1 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5.mp4 10.8 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/015 Practice Opportunity 4.mp4 10.7 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/002 Labeling-Images-in-SageMaker-GroundTruth.zip 10.5 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/015 Practice Opportunity 4.mp4 10.5 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data.mp4 10.3 MB
03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/002 AWS-Essentials-Starter-Pack-Part-1.pptx 9.9 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training.mp4 9.5 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/010 Coding Task 3 - Split the data.mp4 9.4 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/009 Practice Opportunity 1.mp4 9.0 MB14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions.mp4 8.9 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message.mp4 8.6 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp4 8.5 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/009 Practice Opportunity 2.mp4 8.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message.mp4 8.2 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3.mp4 8.1 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/002 XG-Boost-Classification.zip 8.1 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/001 Day Welcome Message.mp4 8.1 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/014 Practice Opportunity 4.mp4 8.0 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message.mp4 7.8 MB07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/001 Day Welcome Message.mp4 7.6 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/001 Day Welcome Message.mp4 7.4 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question.mp4 7.2 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message.mp4 7.2 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/001 Day Welcome Message.mp4 7.1 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/019 Coding Task 10 - Concluding Remarks.mp4 6.9 MB14 - Day 10 Amazon SageMaker Data Wrangler/001 Day Welcome Message.mp4 6.8 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/021 Final Capstone Project Question.mp4 6.8 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/001 Day Welcome Message.mp4 6.8 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp4 6.7 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/011 Final Capstone Project - Question.mp4 6.7 MB23 - Day 18 AWS SageMaker JumpStart/002 AWS-SageMaker-JumpStart.zip 6.6 MB05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/001 Day Welcome Message.mp4 6.5 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/020 Practice Opportunity 7.mp4 6.4 MB04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/001 Day Welcome Message.mp4 6.3 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/008 Resources Cleanup [Important].mp4 6.3 MB20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/002 Training-Job-from-SageMaker-Console.zip 6.2 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/002 AutoGluon-for-Tabular-ML-Regression.zip 6.1 MB08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/001 Day Welcome Message.mp4 6.0 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/002 AutoGluon-for-Tabular-ML-Classification.zip 5.8 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/001 Day Welcome Message.mp4 5.6 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp4 5.6 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/001 Day Welcome Message.mp4 5.5 MB03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/001 Day Welcome Message.mp4 5.5 MB29 - Day 22 XG-Boost Classification in AWS SageMaker/001 Day Welcome Message.mp4 5.5 MB21 - Day 16 XG-Boost Regression in Scikit-Learn/016 Final Capstone Project Question.mp4 5.5 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/001 Day Welcome Message.mp4 5.4 MB38 - Day 29 Lambda Functions Using AWS Console/001 Day Welcome Message.mp4 5.3 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/009 Final Capstone Project - Questions.mp4 5.3 MB38 - Day 29 Lambda Functions Using AWS Console/002 AWS-Lambda-Functions-1.pptx 5.3 MB18 - Day 13 Multiple Linear Regression in Scikit-Learn/002 Multiple-Linear-Regression-in-SKLearn.zip 5.1 MB26 - Day 20 Hyperparameters Optimization in SageMaker/002 Hyperparameters-Optimization-Using-SageMaker.zip 5.0 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/009 Final Capstone Project Question.mp4 4.9 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/001 Day Welcome Message.mp4 4.9 MB26 - Day 20 Hyperparameters Optimization in SageMaker/001 Day Welcome Message.mp4 4.9 MB28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/002 Compare-SKLearn-Classifier-Models.zip 4.7 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/015 Final Capstone Project Question.mp4 4.7 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/002 XG-Boost-in-SageMaker.zip 4.6 MB23 - Day 18 AWS SageMaker JumpStart/001 Day Welcome Message.mp4 4.5 MB35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/002 SageMaker-Autopilot.zip 4.3 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/001 Day Welcome Message.mp4 4.1 MB13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/002 Data-Visualization.zip 4.1 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/002 No-Code-with-AWS-SageMaker-Canvas.zip 4.0 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/002 AWS-Lambda-Functions-2.zip 4.0 MB12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/001 Day Welcome Message.mp4 3.9 MB16 - Day 11 Simple Linear Regression in Scikit-Learn/002 Simple-Linear-Regression-in-SKLearn.zip 3.9 MB25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/002 Hyperparameters-Optimization-SKLearn.zip 3.7 MB11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/001 Day Welcome Message.mp4 3.7 MB10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/002 EDA-Part-1-Crash-Course-Pandas.zip 3.4 MB30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/002 KNN-for-Classification.zip 3.1 MB39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/011 Day End Message.mp4 2.9 MB36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/014 Day End Message.mp4 2.8 MB33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/022 Day End Message.mp4 2.8 MB34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/017 Day End Message.mp4 2.7 MB17 - Day 12 Regression Using AWS SageMaker Linear Learner/002 Simple-Linear-Regression-with-AWS-Linear-Learner.zip 2.6 MB19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/002 Multiple-Linear-Regression-with-SageMaker-Linear-Learner.zip 2.6 MB22 - Day 17 Built-in SageMaker XG-Boost Algorithm/013 Day End Message.mp4 2.6 MB07 - 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Day 22 XG-Boost Classification in AWS SageMaker/002 Please download today's Materials.html 257 Bytes12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/002 Please Download Today's Materials.html 248 Bytes26 - Day 20 Hyperparameters Optimization in SageMaker/002 Please Download Today's Materials.html 248 Bytes38 - Day 29 Lambda Functions Using AWS Console/013 Day End Message_en.srt 244 Bytes10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/002 Please Download Today's Materials.html 240 Bytes22 - Day 17 Built-in SageMaker XG-Boost Algorithm/002 Please Download Today's Materials.html 239 Bytes05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/002 Please Download Today's Materials.html 238 Bytes14 - Day 10 Amazon SageMaker Data Wrangler/002 Please Download Today's Materials.html 235 Bytes28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/002 Please Download Today's Materials.html 225 Bytes11 - 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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/How you can help GetFreeCourses.Co.txt 182 Bytes14 - Day 10 Amazon SageMaker Data Wrangler/How you can help GetFreeCourses.Co.txt 182 Bytes24 - PART 5 HYPERPARAMETERS OPTIMIZATION/How you can help GetFreeCourses.Co.txt 182 Bytes27 - PART 6 MACHINE LEARNING CLASSIFICATION & ChatGPT FOR PROGRAMMERS/How you can help GetFreeCourses.Co.txt 182 Bytes36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/002 Please Download Today's Materials.html 182 Bytes36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/How you can help GetFreeCourses.Co.txt 182 BytesHow you can help GetFreeCourses.Co.txt 182 Bytes04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/002 Please Download Today's Materials.html 128 Bytes
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