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

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FreeCourseLab com Udemy 2019 AWS SageMaker and Machine Learning With Python

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File Name

Size

1. Introduction and Housekeeping/1. Introduction.mp4

3.62MB

1. Introduction and Housekeeping/1.1 Machine Learning at AWS Introduction_WM.pdf.pdf

62.78KB

1. Introduction and Housekeeping/2. Root Account Setup and Billing Dashboard Overview.mp4

5.96MB

1. Introduction and Housekeeping/2.1 AWS HouseKeeping_WM.pdf.pdf

112.87KB

1. Introduction and Housekeeping/3. Enable Access to Billing Data for IAM Users.mp4

9.71MB

1. Introduction and Housekeeping/4. Create Users Required For the Course.mp4

25.8MB

1. Introduction and Housekeeping/5. AWS Command Line Interface Tool Setup and Summary.mp4

7.21MB

1. Introduction and Housekeeping/6. Six Advantages of Cloud Computing.mp4

30.31MB

1. Introduction and Housekeeping/6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf

105.41KB

1. Introduction and Housekeeping/7. AWS Global Infrastructure Overview.mp4

40.08MB

10. 2019 SageMaker HyperParameter Tuning/1. Downloadable Resources.html

159B

10. 2019 SageMaker HyperParameter Tuning/1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf

71KB

10. 2019 SageMaker HyperParameter Tuning/1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx

10.65KB

10. 2019 SageMaker HyperParameter Tuning/2. Introduction to Hyperparameter Tuning.mp4

42.37MB

10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4

154.02MB

10. 2019 SageMaker HyperParameter Tuning/4. Lab Step 2 Tuning Movie Rating Recommender System.mp4

48.13MB

11. AWS Machine Learning Service/1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html

837B

11. AWS Machine Learning Service/10. Data Types supported by AWS Machine Learning.mp4

5.34MB

11. AWS Machine Learning Service/11. Linear Regression Introduction.mp4

12.67MB

11. AWS Machine Learning Service/12. Binary Classification Introduction.mp4

9.19MB

11. AWS Machine Learning Service/13. Multiclass Classification Introduction.mp4

6.03MB

11. AWS Machine Learning Service/14. Data Visualization - Linear, Log, Quadratic and More.mp4

17.42MB

11. AWS Machine Learning Service/15. Algorithm and Terminology Quiz.html

152B

11. AWS Machine Learning Service/2. Python Development Environment and Boto3 Setup.mp4

14.96MB

11. AWS Machine Learning Service/3. Project Source Code and Data Setup.mp4

10MB

11. AWS Machine Learning Service/3.1 ProjectSetup.zip.zip

1.61MB

11. AWS Machine Learning Service/4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4

31.75MB

11. AWS Machine Learning Service/5. Lab AWS S3 Bucket Setup and Configure Security.mp4

18.06MB

11. AWS Machine Learning Service/6. Summary.mp4

2.17MB

11. AWS Machine Learning Service/7. Introduction and House Keeping Quiz.html

152B

11. AWS Machine Learning Service/8. Optional Machine Learning Where To Start (Article).html

6.48KB

11. AWS Machine Learning Service/9. Machine Learning Terminology.mp4

7.05MB

12. Linear Regression/1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4

31.26MB

12. Linear Regression/2. Lab Linear Regression for complex shapes.mp4

11.43MB

12. Linear Regression/3. Summary.mp4

3.86MB

12. Linear Regression/4. Linear Regression Quiz.html

152B

13. AWS - Linear Regression Models/1. Lab Simple Training Data.mp4

15.48MB

13. AWS - Linear Regression Models/10. AWS Regression Metrics Quiz.html

152B

13. AWS - Linear Regression Models/2. Lab Datasource.mp4

28.93MB

13. AWS - Linear Regression Models/3. Lab Train Model with default recipe.mp4

9.8MB

13. AWS - Linear Regression Models/4. AWS Models Quiz.html

152B

13. AWS - Linear Regression Models/5. Concept - How to evaluate regression model accuracy.mp4

9.53MB

13. AWS - Linear Regression Models/6. Lab Evaluate predictive quality of the trained model.mp4

28.72MB

13. AWS - Linear Regression Models/7. Lab Review Default Recipe Settings Used To Train model.mp4

4.56MB

13. AWS - Linear Regression Models/8. Lab Train Model With Custom Recipe and Review Performance.mp4

22.05MB

13. AWS - Linear Regression Models/9. Model Performance Summary and Conclusion.mp4

5.06MB

14. Adding Features To Improve Model/1. Lab Quadratic Fit Training Data.mp4

15.41MB

14. Adding Features To Improve Model/2. Lab Underfitting With Linear Features.mp4

44.89MB

14. Adding Features To Improve Model/3. Lab Normal Fit With Quadratic Features.mp4

27.3MB

14. Adding Features To Improve Model/4. Summary.mp4

3.28MB

15. Normalization/1. Lab Impact of Features With Different Magnitude.mp4

37.69MB

15. Normalization/2. Concept Normalization to smoothen magnitude differences.mp4

13.24MB

15. Normalization/3. Lab Train Model With Feature Normalizaton.mp4

23.01MB

15. Normalization/4. Summary.mp4

3.17MB

15. Normalization/5. Underfitting and Normalization Quiz.html

152B

16. Adding Complex Features/1. Lab Prepare Training Data.mp4

8.14MB

16. Adding Complex Features/2. Lab Adding Complex Features.mp4

4.8MB

16. Adding Complex Features/3. Lab Train Model With Higher Order Features.mp4

26.54MB

16. Adding Complex Features/4. Lab Performance Of Model With Degree 1 Features.mp4

6.98MB

16. Adding Complex Features/5. Lab Performance of Model with Degree 4 Features.mp4

6.62MB

16. Adding Complex Features/6. Lab Performance of Model With Degree 15 Features.mp4

3.68MB

16. Adding Complex Features/7. Summary.mp4

3.66MB

17. Kaggle Bike Hourly Rental Prediction/1. Review Kaggle Bike Train Problem And Dataset.mp4

37.86MB

17. Kaggle Bike Hourly Rental Prediction/2. Lab Train Model To Predict Hourly Rental.mp4

13.32MB

17. Kaggle Bike Hourly Rental Prediction/3. Lab Evaluate Prediction Quality.mp4

23.09MB

17. Kaggle Bike Hourly Rental Prediction/4. Linear Regression Wrapup and Summary.mp4

3.39MB

18. Logistic Regression/1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4

19.68MB

18. Logistic Regression/2. Lab Binary Classification Approach.mp4

19.63MB

18. Logistic Regression/3. True Positive, True Negative, False Positive and False Negative.mp4

18.68MB

18. Logistic Regression/4. Lab Logistic Optimization Objectives.mp4

12.58MB

18. Logistic Regression/5. Lab Logistic Cost Function.mp4

7.46MB

18. Logistic Regression/6. Lab Cost Example.mp4

9.14MB

18. Logistic Regression/7. Optimizing Weights.mp4

9.21MB

18. Logistic Regression/8. Summary.mp4

7.04MB

18. Logistic Regression/9. Logistic Regression Quiz.html

152B

19. Onset of Diabetes Prediction/1. Problem Objective, Input Data and Strategy.mp4

22.37MB

19. Onset of Diabetes Prediction/10. Lab Batch Prediction and Compute Metrics.mp4

22.66MB

19. Onset of Diabetes Prediction/11. Summary.mp4

4.39MB

19. Onset of Diabetes Prediction/12. Logistic Regression Metrics Quiz.html

152B

19. Onset of Diabetes Prediction/2. Lab Prepare For Training.mp4

8.59MB

19. Onset of Diabetes Prediction/3. Lab Training a Classification Model.mp4

13.23MB

19. Onset of Diabetes Prediction/4. Concept Classification Metrics.mp4

10.29MB

19. Onset of Diabetes Prediction/5. Concept Classification Insights with AWS Histograms.mp4

12.62MB

19. Onset of Diabetes Prediction/6. Concept AUC Metric.mp4

4.17MB

19. Onset of Diabetes Prediction/7. Lab Review Diabetes Model Performance.mp4

18.01MB

19. Onset of Diabetes Prediction/8. Lab Cutoff Threshold Interactive Testing.mp4

6.21MB

19. Onset of Diabetes Prediction/9. Lab Evaluating Prediction Quality With Additional Dataset.mp4

19.94MB

2. 2019 SageMaker Housekeeping/1. Downloadable Resources.html

166B

2. 2019 SageMaker Housekeeping/1.1 SourceCode and Data Setup.pdf.pdf

179.38KB

2. 2019 SageMaker Housekeeping/1.2 AWS Introduction ML Concepts.pdf.pdf

266.86KB

2. 2019 SageMaker Housekeeping/2. Demo - S3 Bucket Setup.mp4

20.59MB

2. 2019 SageMaker Housekeeping/3. Demo - Setup SageMaker Notebook Instance.mp4

41.93MB

2. 2019 SageMaker Housekeeping/4. 2019 Demo - Source Code and Data Setup.mp4

33.32MB

20. Multiclass Classifiers using Multinomial Logistic Regression/1. Lab Iris Classifcation.mp4

21.1MB

20. Multiclass Classifiers using Multinomial Logistic Regression/2. Lab Train Classifier with Default and Custom Recipe.mp4

23.61MB

20. Multiclass Classifiers using Multinomial Logistic Regression/3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4

5MB

20. Multiclass Classifiers using Multinomial Logistic Regression/4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4

9.95MB

20. Multiclass Classifiers using Multinomial Logistic Regression/5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4

13.36MB

20. Multiclass Classifiers using Multinomial Logistic Regression/6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4

9.95MB

20. Multiclass Classifiers using Multinomial Logistic Regression/7. Lab Batch Prediction and Computing Metrics using Python Code.mp4

26.95MB

20. Multiclass Classifiers using Multinomial Logistic Regression/8. Summary.mp4

6.58MB

21. Text Based Classification with AWS Twitter Dataset/1. AWS Twitter Feed Classification for Customer Service.mp4

14.57MB

21. Text Based Classification with AWS Twitter Dataset/2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4

29.03MB

21. Text Based Classification with AWS Twitter Dataset/3. Lab Interactive Prediction with AWS.mp4

11.74MB

21. Text Based Classification with AWS Twitter Dataset/4. Logistic Regression Summary.mp4

1.52MB

22. Data Transformation using Recipes/1. Recipe Overview.mp4

8.49MB

22. Data Transformation using Recipes/2. Recipe Example.mp4

10.18MB

22. Data Transformation using Recipes/3. Text Transformation.mp4

13.27MB

22. Data Transformation using Recipes/4. Numeric Transformation - Quantile Binning.mp4

4.63MB

22. Data Transformation using Recipes/5. Numeric Transformation - Normalization.mp4

6.99MB

22. Data Transformation using Recipes/6. Cartesian Product Transformation - Categorical and Text.mp4

3.95MB

22. Data Transformation using Recipes/7. Summary.mp4

711.87KB

23. Hyper Parameters, Model Optimization and Lifecycle/1. Introduction.mp4

1.02MB

23. Hyper Parameters, Model Optimization and Lifecycle/2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4

15.34MB

23. Hyper Parameters, Model Optimization and Lifecycle/3. Regularization, Learning Rate.mp4

5.76MB

23. Hyper Parameters, Model Optimization and Lifecycle/4. Regularization Effect.mp4

5.94MB

23. Hyper Parameters, Model Optimization and Lifecycle/5. Improving Model Quality.mp4

14.1MB

23. Hyper Parameters, Model Optimization and Lifecycle/6. Model Maintenance.mp4

13.22MB

23. Hyper Parameters, Model Optimization and Lifecycle/7. AWS Machine Learning System Limits.mp4

4.32MB

23. Hyper Parameters, Model Optimization and Lifecycle/8. AWS Machine Learning Pricing.mp4

4.94MB

24. Integration of AWS Machine Learning With Your Application/1. Introduction.mp4

5.32MB

24. Integration of AWS Machine Learning With Your Application/10. Demo Allowing Prediction Only For Registered Users.mp4

3.51MB

24. Integration of AWS Machine Learning With Your Application/11. Cognito Overview.mp4

3.61MB

24. Integration of AWS Machine Learning With Your Application/12. Lab Cognito User Pool Configuration.mp4

19.63MB

24. Integration of AWS Machine Learning With Your Application/13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4

41.97MB

24. Integration of AWS Machine Learning With Your Application/14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4

16.03MB

24. Integration of AWS Machine Learning With Your Application/15. Summary.mp4

884.55KB

24. Integration of AWS Machine Learning With Your Application/2. Integration Scenarios.mp4

4.56MB

24. Integration of AWS Machine Learning With Your Application/3. Security using IAM.mp4

7.3MB

24. Integration of AWS Machine Learning With Your Application/4. Hands-on lab - List of Demos and Objective.mp4

4.88MB

24. Integration of AWS Machine Learning With Your Application/5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4

18.83MB

24. Integration of AWS Machine Learning With Your Application/6. Lab Invoking Prediction From AWS Command Line Interface.mp4

15.09MB

24. Integration of AWS Machine Learning With Your Application/6.1 aws_ml_command_line.txt.txt

635B

24. Integration of AWS Machine Learning With Your Application/7. Lab Invoking Prediction From Python Client.mp4

10.5MB

24. Integration of AWS Machine Learning With Your Application/8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4

37.41MB

24. Integration of AWS Machine Learning With Your Application/9. Lab Invoking Prediction From Web Page AngularJS Client.mp4

20.39MB

25. Homework - Additional Problems/1. Mushroom Classification.html

972B

25. Homework - Additional Problems/1.1 MushroomData_Class.csv.csv

373.18KB

26. Conclusion/1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html

8.46KB

26. Conclusion/2. Conclusion.mp4

1.27MB

3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4

70.19MB

3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4

102.2MB

3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4

85.57MB

3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4

81.7MB

3. 2019 Machine Learning Concepts/5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4

37.8MB

4. 2019 SageMaker Service Overview/1. Downloadable Resources.html

272B

4. 2019 SageMaker Service Overview/1.1 AWS SageMaker_WM.pdf.pdf

221.26KB

4. 2019 SageMaker Service Overview/2. SageMaker Overview.mp4

13.81MB

4. 2019 SageMaker Service Overview/3. Compute Instance Families and Pricing.mp4

19.82MB

4. 2019 SageMaker Service Overview/4. Algorithms and Data Formats Supported For Training and Inference.mp4

9.58MB

5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4

72.6MB

5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4

127.23MB

5. XGBoost - Gradient Boosted Trees/11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4

45.34MB

5. XGBoost - Gradient Boosted Trees/12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4

27.67MB

5. XGBoost - Gradient Boosted Trees/13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html

903B

5. XGBoost - Gradient Boosted Trees/13.1 20. How to remove SageMaker endpoints and Shutdown Notebook Instance.pdf.pdf

28.49KB

5. XGBoost - Gradient Boosted Trees/14. Creating EndPoint From Existing Model Artifacts.html

476B

5. XGBoost - Gradient Boosted Trees/15. XGBoost Hyper Parameter Tuning.mp4

51.22MB

5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4

81.81MB

5. XGBoost - Gradient Boosted Trees/17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4

45.25MB

5. XGBoost - Gradient Boosted Trees/18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4

47.36MB

5. XGBoost - Gradient Boosted Trees/19. Summary - XGBoost.mp4

13.23MB

5. XGBoost - Gradient Boosted Trees/2. Source Code Overview.mp4

17.12MB

5. XGBoost - Gradient Boosted Trees/3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4

63.1MB

5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4

99.68MB

5. XGBoost - Gradient Boosted Trees/5. Demo - XGBoost Example with Quadratic Fit.mp4

34.8MB

5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4

97.12MB

5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4

96.16MB

5. XGBoost - Gradient Boosted Trees/8. Demo - Kaggle Bike Rental Model Version 2.mp4

41.91MB

5. XGBoost - Gradient Boosted Trees/9. Demo - Kaggle Bike Rental Model Version 3.mp4

35.5MB

6. SageMaker - Principal Component Analysis (PCA)/1. Downloadable Resources.html

273B

6. SageMaker - Principal Component Analysis (PCA)/1.1 AWS SageMakerPCA_WM.pdf.pdf

118.68KB

6. SageMaker - Principal Component Analysis (PCA)/10. Demo - PCA Projection with SageMaker.mp4

24.31MB

6. SageMaker - Principal Component Analysis (PCA)/11. Exercise Kaggle Bike Train and PCA.html

720B

6. SageMaker - Principal Component Analysis (PCA)/12. Summary.mp4

6.7MB

6. SageMaker - Principal Component Analysis (PCA)/2. Introduction to Principal Component Analysis (PCA).mp4

52.59MB

6. SageMaker - Principal Component Analysis (PCA)/3. PCA Demo Overview.mp4

5.1MB

6. SageMaker - Principal Component Analysis (PCA)/4. Demo - PCA with Random Dataset.mp4

26.64MB

6. SageMaker - Principal Component Analysis (PCA)/5. Demo - PCA with Correlated Dataset.mp4

47.2MB

6. SageMaker - Principal Component Analysis (PCA)/6. Cleanup Resources on SageMaker.html

903B

6. SageMaker - Principal Component Analysis (PCA)/7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4

32.79MB

6. SageMaker - Principal Component Analysis (PCA)/8. Demo - PCA Local Model with Kaggle Bike Train.mp4

30.48MB

6. SageMaker - Principal Component Analysis (PCA)/9. Demo - PCA training with SageMaker.mp4

38.75MB

7. SageMaker - Factorization Machines/1. Downloadable Resources.html

290B

7. SageMaker - Factorization Machines/1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf

133.81KB

7. SageMaker - Factorization Machines/2. Introduction to Factorization Machines.mp4

36.09MB

7. SageMaker - Factorization Machines/3. MovieLens Dataset.html

281B

7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4

90.7MB

7. SageMaker - Factorization Machines/5. Demo - Movie Recommender Model Training.mp4

49.05MB

7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4

68.99MB

8. SageMaker - DeepAR Time Series Forecasting/1. Downloadable Resources.html

273B

8. SageMaker - DeepAR Time Series Forecasting/1.1 AWS SageMakerDeepAR_WM.pdf.pdf

175.95KB

8. SageMaker - DeepAR Time Series Forecasting/10. Demo - DeepAR Dynamic Features Training and Prediction.mp4

26.85MB

8. SageMaker - DeepAR Time Series Forecasting/11. Summary.mp4

10.97MB

8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4

75.8MB

8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4

89.42MB

8. SageMaker - DeepAR Time Series Forecasting/4. Working with Time Series Data, Handling Missing Values.mp4

65.93MB

8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4

104.99MB

8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4

77.28MB

8. SageMaker - DeepAR Time Series Forecasting/7. Demo - Bike Rental Prediction.mp4

48.62MB

8. SageMaker - DeepAR Time Series Forecasting/8. Demo - DeepAR Categories.mp4

64.56MB

8. SageMaker - DeepAR Time Series Forecasting/9. Demo - DeepAR Dynamic Features Data Preparation.mp4

67.57MB

9. 2019 Integration Options - Model Endpoint/1. Downloadable Resources.html

145B

9. 2019 Integration Options - Model Endpoint/1.1 AWS SageMaker Integration.pdf.pdf

116.65KB

9. 2019 Integration Options - Model Endpoint/1.2 Local Machine - Housekeeping.pdf.pdf

200.92KB

9. 2019 Integration Options - Model Endpoint/2. Integration Overview.mp4

11.75MB

9. 2019 Integration Options - Model Endpoint/3. Install Python and Boto3 - Local Machine.mp4

13.65MB

9. 2019 Integration Options - Model Endpoint/4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html

154B

9. 2019 Integration Options - Model Endpoint/4.1 Local Machine - Housekeeping.pdf.pdf

200.92KB

9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4

76.98MB

9. 2019 Integration Options - Model Endpoint/6. Client to Endpoint using Boto3 SDK.mp4

38.28MB

9. 2019 Integration Options - Model Endpoint/7. Microservice - Lambda to Endpoint - Payload.mp4

23.68MB

9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4

74.18MB

9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4

84.07MB

[FreeCourseLab.com].url

126B

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