[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

• [FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python
• 1. Introduction and Housekeeping/1. Introduction.mp4 3.6 MB
• 1. Introduction and Housekeeping/1.1 Machine Learning at AWS Introduction_WM.pdf.pdf 62.8 KB
• 1. Introduction and Housekeeping/2. Root Account Setup and Billing Dashboard Overview.mp4 6 MB
• 1. Introduction and Housekeeping/2.1 AWS HouseKeeping_WM.pdf.pdf 112.9 KB
• 1. Introduction and Housekeeping/3. Enable Access to Billing Data for IAM Users.mp4 9.7 MB
• 1. Introduction and Housekeeping/4. Create Users Required For the Course.mp4 25.8 MB
• 1. Introduction and Housekeeping/5. AWS Command Line Interface Tool Setup and Summary.mp4 7.2 MB
• 1. Introduction and Housekeeping/6. Six Advantages of Cloud Computing.mp4 30.3 MB
• 1. Introduction and Housekeeping/6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf 105.4 KB
• 1. Introduction and Housekeeping/7. AWS Global Infrastructure Overview.mp4 40.1 MB
• 10. 2019 SageMaker HyperParameter Tuning/1. Downloadable Resources.html 159 B
• 10. 2019 SageMaker HyperParameter Tuning/1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf 71 KB
• 10. 2019 SageMaker HyperParameter Tuning/1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx 10.6 KB
• 10. 2019 SageMaker HyperParameter Tuning/2. Introduction to Hyperparameter Tuning.mp4 42.4 MB
• 10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 154 MB
• 10. 2019 SageMaker HyperParameter Tuning/4. Lab Step 2 Tuning Movie Rating Recommender System.mp4 48.1 MB
• 11. AWS Machine Learning Service/1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html 837 B
• 11. AWS Machine Learning Service/10. Data Types supported by AWS Machine Learning.mp4 5.3 MB
• 11. AWS Machine Learning Service/11. Linear Regression Introduction.mp4 12.7 MB
• 11. AWS Machine Learning Service/12. Binary Classification Introduction.mp4 9.2 MB
• 11. AWS Machine Learning Service/13. Multiclass Classification Introduction.mp4 6 MB
• 11. AWS Machine Learning Service/14. Data Visualization - Linear, Log, Quadratic and More.mp4 17.4 MB
• 11. AWS Machine Learning Service/15. Algorithm and Terminology Quiz.html 152 B
• 11. AWS Machine Learning Service/2. Python Development Environment and Boto3 Setup.mp4 15 MB
• 11. AWS Machine Learning Service/3. Project Source Code and Data Setup.mp4 10 MB
• 11. AWS Machine Learning Service/3.1 ProjectSetup.zip.zip 1.6 MB
• 11. AWS Machine Learning Service/4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4 31.8 MB
• 11. AWS Machine Learning Service/5. Lab AWS S3 Bucket Setup and Configure Security.mp4 18.1 MB
• 11. AWS Machine Learning Service/6. Summary.mp4 2.2 MB
• 11. AWS Machine Learning Service/7. Introduction and House Keeping Quiz.html 152 B
• 11. AWS Machine Learning Service/8. Optional Machine Learning Where To Start (Article).html 6.5 KB
• 11. AWS Machine Learning Service/9. Machine Learning Terminology.mp4 7 MB
• 12. Linear Regression/1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4 31.3 MB
• 12. Linear Regression/2. Lab Linear Regression for complex shapes.mp4 11.4 MB
• 12. Linear Regression/3. Summary.mp4 3.9 MB
• 12. Linear Regression/4. Linear Regression Quiz.html 152 B
• 13. AWS - Linear Regression Models/1. Lab Simple Training Data.mp4 15.5 MB
• 13. AWS - Linear Regression Models/10. AWS Regression Metrics Quiz.html 152 B
• 13. AWS - Linear Regression Models/2. Lab Datasource.mp4 28.9 MB
• 13. AWS - Linear Regression Models/3. Lab Train Model with default recipe.mp4 9.8 MB
• 13. AWS - Linear Regression Models/4. AWS Models Quiz.html 152 B
• 13. AWS - Linear Regression Models/5. Concept - How to evaluate regression model accuracy.mp4 9.5 MB
• 13. AWS - Linear Regression Models/6. Lab Evaluate predictive quality of the trained model.mp4 28.7 MB
• 13. AWS - Linear Regression Models/7. Lab Review Default Recipe Settings Used To Train model.mp4 4.6 MB
• 13. AWS - Linear Regression Models/8. Lab Train Model With Custom Recipe and Review Performance.mp4 22.1 MB
• 13. AWS - Linear Regression Models/9. Model Performance Summary and Conclusion.mp4 5.1 MB
• 14. Adding Features To Improve Model/1. Lab Quadratic Fit Training Data.mp4 15.4 MB
• 14. Adding Features To Improve Model/2. Lab Underfitting With Linear Features.mp4 44.9 MB
• 14. Adding Features To Improve Model/3. Lab Normal Fit With Quadratic Features.mp4 27.3 MB
• 14. Adding Features To Improve Model/4. Summary.mp4 3.3 MB
• 15. Normalization/1. Lab Impact of Features With Different Magnitude.mp4 37.7 MB
• 15. Normalization/2. Concept Normalization to smoothen magnitude differences.mp4 13.2 MB
• 15. Normalization/3. Lab Train Model With Feature Normalizaton.mp4 23 MB
• 15. Normalization/4. Summary.mp4 3.2 MB
• 15. Normalization/5. Underfitting and Normalization Quiz.html 152 B
• 16. Adding Complex Features/1. Lab Prepare Training Data.mp4 8.1 MB
• 16. Adding Complex Features/2. Lab Adding Complex Features.mp4 4.8 MB
• 16. Adding Complex Features/3. Lab Train Model With Higher Order Features.mp4 26.5 MB
• 16. Adding Complex Features/4. Lab Performance Of Model With Degree 1 Features.mp4 7 MB
• 16. Adding Complex Features/5. Lab Performance of Model with Degree 4 Features.mp4 6.6 MB
• 16. Adding Complex Features/6. Lab Performance of Model With Degree 15 Features.mp4 3.7 MB
• 16. Adding Complex Features/7. Summary.mp4 3.7 MB
• 17. Kaggle Bike Hourly Rental Prediction/1. Review Kaggle Bike Train Problem And Dataset.mp4 37.9 MB
• 17. Kaggle Bike Hourly Rental Prediction/2. Lab Train Model To Predict Hourly Rental.mp4 13.3 MB
• 17. Kaggle Bike Hourly Rental Prediction/3. Lab Evaluate Prediction Quality.mp4 23.1 MB
• 17. Kaggle Bike Hourly Rental Prediction/4. Linear Regression Wrapup and Summary.mp4 3.4 MB
• 18. Logistic Regression/1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4 19.7 MB
• 18. Logistic Regression/2. Lab Binary Classification Approach.mp4 19.6 MB
• 18. Logistic Regression/3. True Positive, True Negative, False Positive and False Negative.mp4 18.7 MB
• 18. Logistic Regression/4. Lab Logistic Optimization Objectives.mp4 12.6 MB
• 18. Logistic Regression/5. Lab Logistic Cost Function.mp4 7.5 MB
• 18. Logistic Regression/6. Lab Cost Example.mp4 9.1 MB
• 18. Logistic Regression/7. Optimizing Weights.mp4 9.2 MB
• 18. Logistic Regression/8. Summary.mp4 7 MB
• 18. Logistic Regression/9. Logistic Regression Quiz.html 152 B
• 19. Onset of Diabetes Prediction/1. Problem Objective, Input Data and Strategy.mp4 22.4 MB
• 19. Onset of Diabetes Prediction/10. Lab Batch Prediction and Compute Metrics.mp4 22.7 MB
• 19. Onset of Diabetes Prediction/11. Summary.mp4 4.4 MB
• 19. Onset of Diabetes Prediction/12. Logistic Regression Metrics Quiz.html 152 B
• 19. Onset of Diabetes Prediction/2. Lab Prepare For Training.mp4 8.6 MB
• 19. Onset of Diabetes Prediction/3. Lab Training a Classification Model.mp4 13.2 MB
• 19. Onset of Diabetes Prediction/4. Concept Classification Metrics.mp4 10.3 MB
• 19. Onset of Diabetes Prediction/5. Concept Classification Insights with AWS Histograms.mp4 12.6 MB
• 19. Onset of Diabetes Prediction/6. Concept AUC Metric.mp4 4.2 MB
• 19. Onset of Diabetes Prediction/7. Lab Review Diabetes Model Performance.mp4 18 MB
• 19. Onset of Diabetes Prediction/8. Lab Cutoff Threshold Interactive Testing.mp4 6.2 MB
• 19. Onset of Diabetes Prediction/9. Lab Evaluating Prediction Quality With Additional Dataset.mp4 19.9 MB
• 2. 2019 SageMaker Housekeeping/1. Downloadable Resources.html 166 B
• 2. 2019 SageMaker Housekeeping/1.1 SourceCode and Data Setup.pdf.pdf 179.4 KB
• 2. 2019 SageMaker Housekeeping/1.2 AWS Introduction ML Concepts.pdf.pdf 266.9 KB
• 2. 2019 SageMaker Housekeeping/2. Demo - S3 Bucket Setup.mp4 20.6 MB
• 2. 2019 SageMaker Housekeeping/3. Demo - Setup SageMaker Notebook Instance.mp4 41.9 MB
• 2. 2019 SageMaker Housekeeping/4. 2019 Demo - Source Code and Data Setup.mp4 33.3 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/1. Lab Iris Classifcation.mp4 21.1 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/2. Lab Train Classifier with Default and Custom Recipe.mp4 23.6 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4 5 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4 10 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4 13.4 MB
• 20. Multiclass Classifiers using Multinomial Logistic Regression/6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4 9.9 MB

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