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1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4
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MP4
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70.2 MB
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1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html
|
HTML
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819.2 B
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1. AWS Twitter Feed Classification for Customer Service.mp4
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MP4
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14.6 MB
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1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html
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HTML
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8.5 KB
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1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4
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MP4
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19.7 MB
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1. Downloadable Resources.html
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HTML
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102.4 B
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1. Introduction to XGBoost.mp4
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MP4
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72.6 MB
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1. Introduction.mp4
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MP4
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5.3 MB
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1. Lab Impact of Features With Different Magnitude.mp4
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MP4
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37.7 MB
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1. Lab Iris Classifcation.mp4
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MP4
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21.1 MB
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1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4
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MP4
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31.3 MB
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1. Lab Prepare Training Data.mp4
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MP4
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8.1 MB
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1. Lab Quadratic Fit Training Data.mp4
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MP4
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15.4 MB
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1. Lab Simple Training Data.mp4
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MP4
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15.5 MB
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1. Mushroom Classification.html
|
HTML
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921.6 B
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1. Problem Objective, Input Data and Strategy.mp4
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MP4
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22.4 MB
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1. Recipe Overview.mp4
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MP4
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8.5 MB
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1. Review Kaggle Bike Train Problem And Dataset.mp4
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MP4
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37.9 MB
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1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf
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PDF
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133.8 KB
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1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf
|
PDF
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71 KB
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1.1 AWS SageMaker Integration.pdf.pdf
|
PDF
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116.6 KB
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1.1 AWS SageMakerDeepAR_WM.pdf.pdf
|
PDF
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176 KB
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1.1 AWS SageMakerPCA_WM.pdf.pdf
|
PDF
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118.7 KB
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1.1 AWS SageMaker_WM.pdf.pdf
|
PDF
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221.3 KB
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1.1 Machine Learning at AWS Introduction_WM.pdf.pdf
|
PDF
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62.8 KB
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1.1 MushroomData_Class.csv.csv
|
CSV
|
373.2 KB
|
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1.1 SourceCode and Data Setup.pdf.pdf
|
PDF
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179.4 KB
|
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1.2 AWS Introduction ML Concepts.pdf.pdf
|
PDF
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266.9 KB
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1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx
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XLSX
|
10.6 KB
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1.2 Local Machine - Housekeeping.pdf.pdf
|
PDF
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200.9 KB
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10. AWS Regression Metrics Quiz.html
|
HTML
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102.4 B
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10. Data Types supported by AWS Machine Learning.mp4
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MP4
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5.3 MB
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10. Demo - DeepAR Dynamic Features Training and Prediction.mp4
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MP4
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26.9 MB
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10. Demo - PCA Projection with SageMaker.mp4
|
MP4
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24.3 MB
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10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4
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MP4
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127.2 MB
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10. Demo Allowing Prediction Only For Registered Users.mp4
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MP4
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3.5 MB
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10. Lab Batch Prediction and Compute Metrics.mp4
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MP4
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22.7 MB
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11. Cognito Overview.mp4
|
MP4
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3.6 MB
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11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4
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MP4
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45.3 MB
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11. Exercise Kaggle Bike Train and PCA.html
|
HTML
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716.8 B
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11. Linear Regression Introduction.mp4
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MP4
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12.7 MB
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11. Summary.mp4
|
MP4
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11 MB
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12. Binary Classification Introduction.mp4
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MP4
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9.2 MB
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12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4
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MP4
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27.7 MB
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12. Lab Cognito User Pool Configuration.mp4
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MP4
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19.6 MB
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12. Logistic Regression Metrics Quiz.html
|
HTML
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102.4 B
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12. Summary.mp4
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MP4
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6.7 MB
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13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html
|
HTML
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921.6 B
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13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4
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MP4
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42 MB
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13. Multiclass Classification Introduction.mp4
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MP4
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6 MB
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13.1 20. How to remove SageMaker endpoints and Shutdown Notebook Instance.pdf.pdf
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PDF
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28.5 KB
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14. Creating EndPoint From Existing Model Artifacts.html
|
HTML
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512 B
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14. Data Visualization - Linear, Log, Quadratic and More.mp4
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MP4
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17.4 MB
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14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4
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MP4
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16 MB
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15. Algorithm and Terminology Quiz.html
|
HTML
|
102.4 B
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15. Summary.mp4
|
MP4
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884.6 KB
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15. XGBoost Hyper Parameter Tuning.mp4
|
MP4
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51.2 MB
|
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16. Demo - XGBoost Multi-Class Classification Iris Data.mp4
|
MP4
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81.8 MB
|
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17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4
|
MP4
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45.2 MB
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18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4
|
MP4
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47.4 MB
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19. Summary - XGBoost.mp4
|
MP4
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13.2 MB
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2. 2019 Data Types - How to handle mixed data types.mp4
|
MP4
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102.2 MB
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2. Concept Normalization to smoothen magnitude differences.mp4
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MP4
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13.2 MB
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2. Conclusion.mp4
|
MP4
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1.3 MB
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2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4
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MP4
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15.3 MB
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2. Demo - S3 Bucket Setup.mp4
|
MP4
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20.6 MB
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2. Integration Overview.mp4
|
MP4
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11.8 MB
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2. Integration Scenarios.mp4
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MP4
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4.6 MB
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2. Introduction to DeepAR Time Series Forecasting.mp4
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MP4
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75.8 MB
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2. Introduction to Factorization Machines.mp4
|
MP4
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36.1 MB
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2. Introduction to Hyperparameter Tuning.mp4
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MP4
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42.4 MB
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2. Introduction to Principal Component Analysis (PCA).mp4
|
MP4
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52.6 MB
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2. Lab Adding Complex Features.mp4
|
MP4
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4.8 MB
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2. Lab Binary Classification Approach.mp4
|
MP4
|
19.6 MB
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2. Lab Datasource.mp4
|
MP4
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28.9 MB
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2. Lab Linear Regression for complex shapes.mp4
|
MP4
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11.4 MB
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2. Lab Prepare For Training.mp4
|
MP4
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8.6 MB
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2. Lab Train Classifier with Default and Custom Recipe.mp4
|
MP4
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23.6 MB
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2. Lab Train Model To Predict Hourly Rental.mp4
|
MP4
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13.3 MB
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2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4
|
MP4
|
29 MB
|
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2. Lab Underfitting With Linear Features.mp4
|
MP4
|
44.9 MB
|
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2. Python Development Environment and Boto3 Setup.mp4
|
MP4
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15 MB
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2. Recipe Example.mp4
|
MP4
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10.2 MB
|
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2. Root Account Setup and Billing Dashboard Overview.mp4
|
MP4
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6 MB
|
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2. SageMaker Overview.mp4
|
MP4
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13.8 MB
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2. Source Code Overview.mp4
|
MP4
|
17.1 MB
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2.1 AWS HouseKeeping_WM.pdf.pdf
|
PDF
|
112.9 KB
|
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3. 2019 Introduction to Python Notebook Environment.mp4
|
MP4
|
85.6 MB
|
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3. Compute Instance Families and Pricing.mp4
|
MP4
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19.8 MB
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3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4
|
MP4
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5 MB
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3. DeepAR Training and Inference Formats.mp4
|
MP4
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89.4 MB
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3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4
|
MP4
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63.1 MB
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3. Demo - Setup SageMaker Notebook Instance.mp4
|
MP4
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41.9 MB
|
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3. Enable Access to Billing Data for IAM Users.mp4
|
MP4
|
9.7 MB
|
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3. Install Python and Boto3 - Local Machine.mp4
|
MP4
|
13.6 MB
|
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3. Lab Evaluate Prediction Quality.mp4
|
MP4
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23.1 MB
|
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3. Lab Interactive Prediction with AWS.mp4
|
MP4
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11.7 MB
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3. Lab Normal Fit With Quadratic Features.mp4
|
MP4
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27.3 MB
|
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3. Lab Train Model With Feature Normalizaton.mp4
|
MP4
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23 MB
|
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3. Lab Train Model With Higher Order Features.mp4
|
MP4
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26.5 MB
|
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3. Lab Train Model with default recipe.mp4
|
MP4
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9.8 MB
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3. Lab Training a Classification Model.mp4
|
MP4
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13.2 MB
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3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4
|
MP4
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154 MB
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3. MovieLens Dataset.html
|
HTML
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307.2 B
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3. PCA Demo Overview.mp4
|
MP4
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5.1 MB
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3. Project Source Code and Data Setup.mp4
|
MP4
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10 MB
|
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3. Regularization, Learning Rate.mp4
|
MP4
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5.8 MB
|
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3. Security using IAM.mp4
|
MP4
|
7.3 MB
|
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3. Summary.mp4
|
MP4
|
3.9 MB
|
|
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3. Text Transformation.mp4
|
MP4
|
13.3 MB
|
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3. True Positive, True Negative, False Positive and False Negative.mp4
|
MP4
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18.7 MB
|
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3.1 ProjectSetup.zip.zip
|
ZIP
|
1.6 MB
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4. 2019 Demo - Source Code and Data Setup.mp4
|
MP4
|
33.3 MB
|
|
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4. 2019 Introduction to working with Missing Data.mp4
|
MP4
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81.7 MB
|
|
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4. AWS Models Quiz.html
|
HTML
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102.4 B
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4. Algorithms and Data Formats Supported For Training and Inference.mp4
|
MP4
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9.6 MB
|
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4. Concept Classification Metrics.mp4
|
MP4
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10.3 MB
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4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4
|
MP4
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10 MB
|
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4. Create Users Required For the Course.mp4
|
MP4
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25.8 MB
|
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4. Demo - Movie Recommender Data Preparation.mp4
|
MP4
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90.7 MB
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4. Demo - PCA with Random Dataset.mp4
|
MP4
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26.6 MB
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4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4
|
MP4
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99.7 MB
|
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4. Hands-on lab - List of Demos and Objective.mp4
|
MP4
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4.9 MB
|
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4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html
|
HTML
|
204.8 B
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4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4
|
MP4
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31.8 MB
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4. Lab Logistic Optimization Objectives.mp4
|
MP4
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12.6 MB
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4. Lab Performance Of Model With Degree 1 Features.mp4
|
MP4
|
7 MB
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4. Lab Step 2 Tuning Movie Rating Recommender System.mp4
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MP4
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48.1 MB
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4. Linear Regression Quiz.html
|
HTML
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102.4 B
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4. Linear Regression Wrapup and Summary.mp4
|
MP4
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3.4 MB
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4. Logistic Regression Summary.mp4
|
MP4
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1.5 MB
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4. Numeric Transformation - Quantile Binning.mp4
|
MP4
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4.6 MB
|
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4. Regularization Effect.mp4
|
MP4
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5.9 MB
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4. Summary.mp4
|
MP4
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3.2 MB
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4. Working with Time Series Data, Handling Missing Values.mp4
|
MP4
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65.9 MB
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4.1 Local Machine - Housekeeping.pdf.pdf
|
PDF
|
200.9 KB
|
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5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4
|
MP4
|
37.8 MB
|
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5. AWS Command Line Interface Tool Setup and Summary.mp4
|
MP4
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7.2 MB
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5. Client to Endpoint using SageMaker SDK.mp4
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MP4
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77 MB
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5. Concept - How to evaluate regression model accuracy.mp4
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MP4
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9.5 MB
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5. Concept Classification Insights with AWS Histograms.mp4
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MP4
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12.6 MB
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5. Demo - Bike Rental as Time Series Forecasting Problem.mp4
|
MP4
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105 MB
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5. Demo - Movie Recommender Model Training.mp4
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MP4
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49.1 MB
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5. Demo - PCA with Correlated Dataset.mp4
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MP4
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47.2 MB
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5. Demo - XGBoost Example with Quadratic Fit.mp4
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MP4
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34.8 MB
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5. Improving Model Quality.mp4
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MP4
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14.1 MB
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5. Lab AWS S3 Bucket Setup and Configure Security.mp4
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MP4
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18.1 MB
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5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4
|
MP4
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18.8 MB
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5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4
|
MP4
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13.4 MB
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5. Lab Logistic Cost Function.mp4
|
MP4
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7.5 MB
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5. Lab Performance of Model with Degree 4 Features.mp4
|
MP4
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6.6 MB
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5. Numeric Transformation - Normalization.mp4
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MP4
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7 MB
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5. Underfitting and Normalization Quiz.html
|
HTML
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102.4 B
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6. Cartesian Product Transformation - Categorical and Text.mp4
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MP4
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3.9 MB
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6. Cleanup Resources on SageMaker.html
|
HTML
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921.6 B
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6. Client to Endpoint using Boto3 SDK.mp4
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MP4
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38.3 MB
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6. Concept AUC Metric.mp4
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MP4
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4.2 MB
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6. Demo - Bike Rental Model Training.mp4
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MP4
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77.3 MB
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6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4
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MP4
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97.1 MB
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6. Demo - Movie Predictions By User.mp4
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MP4
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69 MB
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6. Lab Cost Example.mp4
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MP4
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9.1 MB
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6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4
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MP4
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9.9 MB
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6. Lab Evaluate predictive quality of the trained model.mp4
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MP4
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28.7 MB
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6. Lab Invoking Prediction From AWS Command Line Interface.mp4
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MP4
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15.1 MB
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6. Lab Performance of Model With Degree 15 Features.mp4
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MP4
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3.7 MB
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6. Model Maintenance.mp4
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MP4
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13.2 MB
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6. Six Advantages of Cloud Computing.mp4
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MP4
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30.3 MB
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6. Summary.mp4
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MP4
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2.2 MB
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6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf
|
PDF
|
105.4 KB
|
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6.1 aws_ml_command_line.txt.txt
|
TXT
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614.4 B
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7. AWS Global Infrastructure Overview.mp4
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MP4
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40.1 MB
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7. AWS Machine Learning System Limits.mp4
|
MP4
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4.3 MB
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7. Demo - Bike Rental Prediction.mp4
|
MP4
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48.6 MB
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7. Demo - Kaggle Bike Rental Model Version 1.mp4
|
MP4
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96.2 MB
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7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4
|
MP4
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32.8 MB
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7. Introduction and House Keeping Quiz.html
|
HTML
|
102.4 B
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7. Lab Batch Prediction and Computing Metrics using Python Code.mp4
|
MP4
|
26.9 MB
|
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7. Lab Invoking Prediction From Python Client.mp4
|
MP4
|
10.5 MB
|
|
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7. Lab Review Default Recipe Settings Used To Train model.mp4
|
MP4
|
4.6 MB
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7. Lab Review Diabetes Model Performance.mp4
|
MP4
|
18 MB
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7. Microservice - Lambda to Endpoint - Payload.mp4
|
MP4
|
23.7 MB
|
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7. Optimizing Weights.mp4
|
MP4
|
9.2 MB
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7. Summary.mp4
|
MP4
|
711.9 KB
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8. AWS Machine Learning Pricing.mp4
|
MP4
|
4.9 MB
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8. Demo - DeepAR Categories.mp4
|
MP4
|
64.6 MB
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8. Demo - Kaggle Bike Rental Model Version 2.mp4
|
MP4
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41.9 MB
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8. Demo - PCA Local Model with Kaggle Bike Train.mp4
|
MP4
|
30.5 MB
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8. Lab Cutoff Threshold Interactive Testing.mp4
|
MP4
|
6.2 MB
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8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4
|
MP4
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37.4 MB
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8. Lab Train Model With Custom Recipe and Review Performance.mp4
|
MP4
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22.1 MB
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8. Microservice - Lambda to Endpoint.mp4
|
MP4
|
74.2 MB
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8. Optional Machine Learning Where To Start (Article).html
|
HTML
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6.5 KB
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8. Summary.mp4
|
MP4
|
6.6 MB
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|
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9. Demo - DeepAR Dynamic Features Data Preparation.mp4
|
MP4
|
67.6 MB
|
|
|
9. Demo - Kaggle Bike Rental Model Version 3.mp4
|
MP4
|
35.5 MB
|
|
|
9. Demo - PCA training with SageMaker.mp4
|
MP4
|
38.7 MB
|
|
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9. Lab Evaluating Prediction Quality With Additional Dataset.mp4
|
MP4
|
19.9 MB
|
|
|
9. Lab Invoking Prediction From Web Page AngularJS Client.mp4
|
MP4
|
20.4 MB
|
|
|
9. Logistic Regression Quiz.html
|
HTML
|
102.4 B
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|
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9. Machine Learning Terminology.mp4
|
MP4
|
7 MB
|
|
|
9. Microservice - API Gateway, Lambda to Endpoint.mp4
|
MP4
|
84.1 MB
|
|
|
9. Model Performance Summary and Conclusion.mp4
|
MP4
|
5.1 MB
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|
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[FreeCourseLab.com].url
|
URL
|
102.4 B
|
