| 1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 | 70.2 MB | ||
| 1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html | 819.2 B | ||
| 1. AWS Twitter Feed Classification for Customer Service.mp4 | 14.6 MB | ||
| 1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html | 8.5 KB | ||
| 1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4 | 19.7 MB | ||
| 1. Downloadable Resources.html | 102.4 B | ||
| 1. Introduction to XGBoost.mp4 | 72.6 MB | ||
| 1. Introduction.mp4 | 5.3 MB | ||
| 1. Lab Impact of Features With Different Magnitude.mp4 | 37.7 MB | ||
| 1. Lab Iris Classifcation.mp4 | 21.1 MB | ||
| 1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4 | 31.3 MB | ||
| 1. Lab Prepare Training Data.mp4 | 8.1 MB | ||
| 1. Lab Quadratic Fit Training Data.mp4 | 15.4 MB | ||
| 1. Lab Simple Training Data.mp4 | 15.5 MB | ||
| 1. Mushroom Classification.html | 921.6 B | ||
| 1. Problem Objective, Input Data and Strategy.mp4 | 22.4 MB | ||
| 1. Recipe Overview.mp4 | 8.5 MB | ||
| 1. Review Kaggle Bike Train Problem And Dataset.mp4 | 37.9 MB | ||
| 1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf | 133.8 KB | ||
| 1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf | 71 KB | ||
| 1.1 AWS SageMaker Integration.pdf.pdf | 116.6 KB | ||
| 1.1 AWS SageMakerDeepAR_WM.pdf.pdf | 176 KB | ||
| 1.1 AWS SageMakerPCA_WM.pdf.pdf | 118.7 KB | ||
| 1.1 AWS SageMaker_WM.pdf.pdf | 221.3 KB | ||
| 1.1 Machine Learning at AWS Introduction_WM.pdf.pdf | 62.8 KB | ||
| 1.1 MushroomData_Class.csv.csv | 373.2 KB | ||
| 1.1 SourceCode and Data Setup.pdf.pdf | 179.4 KB | ||
| 1.2 AWS Introduction ML Concepts.pdf.pdf | 266.9 KB | ||
| 1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx | 10.6 KB | ||
| 1.2 Local Machine - Housekeeping.pdf.pdf | 200.9 KB | ||
| 10. AWS Regression Metrics Quiz.html | 102.4 B | ||
| 10. Data Types supported by AWS Machine Learning.mp4 | 5.3 MB | ||
| 10. Demo - DeepAR Dynamic Features Training and Prediction.mp4 | 26.9 MB | ||
| 10. Demo - PCA Projection with SageMaker.mp4 | 24.3 MB | ||
| 10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 | 127.2 MB | ||
| 10. Demo Allowing Prediction Only For Registered Users.mp4 | 3.5 MB | ||
| 10. Lab Batch Prediction and Compute Metrics.mp4 | 22.7 MB | ||
| 11. Cognito Overview.mp4 | 3.6 MB | ||
| 11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4 | 45.3 MB | ||
| 11. Exercise Kaggle Bike Train and PCA.html | 716.8 B | ||
| 11. Linear Regression Introduction.mp4 | 12.7 MB | ||
| 11. Summary.mp4 | 11 MB | ||
| 12. Binary Classification Introduction.mp4 | 9.2 MB | ||
| 12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4 | 27.7 MB | ||
| 12. Lab Cognito User Pool Configuration.mp4 | 19.6 MB | ||
| 12. Logistic Regression Metrics Quiz.html | 102.4 B | ||
| 12. Summary.mp4 | 6.7 MB | ||
| 13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html | 921.6 B | ||
| 13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4 | 42 MB | ||
| 13. Multiclass Classification Introduction.mp4 | 6 MB | ||
| 13.1 20. How to remove SageMaker endpoints and Shutdown Notebook Instance.pdf.pdf | 28.5 KB | ||
| 14. Creating EndPoint From Existing Model Artifacts.html | 512 B | ||
| 14. Data Visualization - Linear, Log, Quadratic and More.mp4 | 17.4 MB | ||
| 14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4 | 16 MB | ||
| 15. Algorithm and Terminology Quiz.html | 102.4 B | ||
| 15. Summary.mp4 | 884.6 KB | ||
| 15. XGBoost Hyper Parameter Tuning.mp4 | 51.2 MB | ||
| 16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 | 81.8 MB | ||
| 17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4 | 45.2 MB | ||
| 18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4 | 47.4 MB | ||
| 19. Summary - XGBoost.mp4 | 13.2 MB | ||
| 2. 2019 Data Types - How to handle mixed data types.mp4 | 102.2 MB | ||
| 2. Concept Normalization to smoothen magnitude differences.mp4 | 13.2 MB | ||
| 2. Conclusion.mp4 | 1.3 MB | ||
| 2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4 | 15.3 MB | ||
| 2. Demo - S3 Bucket Setup.mp4 | 20.6 MB | ||
| 2. Integration Overview.mp4 | 11.8 MB | ||
| 2. Integration Scenarios.mp4 | 4.6 MB | ||
| 2. Introduction to DeepAR Time Series Forecasting.mp4 | 75.8 MB | ||
| 2. Introduction to Factorization Machines.mp4 | 36.1 MB | ||
| 2. Introduction to Hyperparameter Tuning.mp4 | 42.4 MB | ||
| 2. Introduction to Principal Component Analysis (PCA).mp4 | 52.6 MB | ||
| 2. Lab Adding Complex Features.mp4 | 4.8 MB | ||
| 2. Lab Binary Classification Approach.mp4 | 19.6 MB | ||
| 2. Lab Datasource.mp4 | 28.9 MB | ||
| 2. Lab Linear Regression for complex shapes.mp4 | 11.4 MB | ||
| 2. Lab Prepare For Training.mp4 | 8.6 MB | ||
| 2. Lab Train Classifier with Default and Custom Recipe.mp4 | 23.6 MB | ||
| 2. Lab Train Model To Predict Hourly Rental.mp4 | 13.3 MB | ||
| 2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4 | 29 MB | ||
| 2. Lab Underfitting With Linear Features.mp4 | 44.9 MB | ||
| 2. Python Development Environment and Boto3 Setup.mp4 | 15 MB | ||
| 2. Recipe Example.mp4 | 10.2 MB | ||
| 2. Root Account Setup and Billing Dashboard Overview.mp4 | 6 MB | ||
| 2. SageMaker Overview.mp4 | 13.8 MB | ||
| 2. Source Code Overview.mp4 | 17.1 MB | ||
| 2.1 AWS HouseKeeping_WM.pdf.pdf | 112.9 KB | ||
| 3. 2019 Introduction to Python Notebook Environment.mp4 | 85.6 MB | ||
| 3. Compute Instance Families and Pricing.mp4 | 19.8 MB | ||
| 3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4 | 5 MB | ||
| 3. DeepAR Training and Inference Formats.mp4 | 89.4 MB | ||
| 3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4 | 63.1 MB | ||
| 3. Demo - Setup SageMaker Notebook Instance.mp4 | 41.9 MB | ||
| 3. Enable Access to Billing Data for IAM Users.mp4 | 9.7 MB | ||
| 3. Install Python and Boto3 - Local Machine.mp4 | 13.6 MB | ||
| 3. Lab Evaluate Prediction Quality.mp4 | 23.1 MB | ||
| 3. Lab Interactive Prediction with AWS.mp4 | 11.7 MB | ||
| 3. Lab Normal Fit With Quadratic Features.mp4 | 27.3 MB | ||
| 3. Lab Train Model With Feature Normalizaton.mp4 | 23 MB | ||
| 3. Lab Train Model With Higher Order Features.mp4 | 26.5 MB | ||
| 3. Lab Train Model with default recipe.mp4 | 9.8 MB | ||
| 3. Lab Training a Classification Model.mp4 | 13.2 MB | ||
| 3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 | 154 MB | ||
| 3. MovieLens Dataset.html | 307.2 B | ||
| 3. PCA Demo Overview.mp4 | 5.1 MB | ||
| 3. Project Source Code and Data Setup.mp4 | 10 MB | ||
| 3. Regularization, Learning Rate.mp4 | 5.8 MB | ||
| 3. Security using IAM.mp4 | 7.3 MB | ||
| 3. Summary.mp4 | 3.9 MB | ||
| 3. Text Transformation.mp4 | 13.3 MB | ||
| 3. True Positive, True Negative, False Positive and False Negative.mp4 | 18.7 MB | ||
| 3.1 ProjectSetup.zip.zip | 1.6 MB | ||
| 4. 2019 Demo - Source Code and Data Setup.mp4 | 33.3 MB | ||
| 4. 2019 Introduction to working with Missing Data.mp4 | 81.7 MB | ||
| 4. AWS Models Quiz.html | 102.4 B | ||
| 4. Algorithms and Data Formats Supported For Training and Inference.mp4 | 9.6 MB | ||
| 4. Concept Classification Metrics.mp4 | 10.3 MB | ||
| 4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4 | 10 MB | ||
| 4. Create Users Required For the Course.mp4 | 25.8 MB | ||
| 4. Demo - Movie Recommender Data Preparation.mp4 | 90.7 MB | ||
| 4. Demo - PCA with Random Dataset.mp4 | 26.6 MB | ||
| 4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 | 99.7 MB | ||
| 4. Hands-on lab - List of Demos and Objective.mp4 | 4.9 MB | ||
| 4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html | 204.8 B | ||
| 4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4 | 31.8 MB | ||
| 4. Lab Logistic Optimization Objectives.mp4 | 12.6 MB | ||
| 4. Lab Performance Of Model With Degree 1 Features.mp4 | 7 MB | ||
| 4. Lab Step 2 Tuning Movie Rating Recommender System.mp4 | 48.1 MB | ||
| 4. Linear Regression Quiz.html | 102.4 B | ||
| 4. Linear Regression Wrapup and Summary.mp4 | 3.4 MB | ||
| 4. Logistic Regression Summary.mp4 | 1.5 MB | ||
| 4. Numeric Transformation - Quantile Binning.mp4 | 4.6 MB | ||
| 4. Regularization Effect.mp4 | 5.9 MB | ||
| 4. Summary.mp4 | 3.2 MB | ||
| 4. Working with Time Series Data, Handling Missing Values.mp4 | 65.9 MB | ||
| 4.1 Local Machine - Housekeeping.pdf.pdf | 200.9 KB | ||
| 5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4 | 37.8 MB | ||
| 5. AWS Command Line Interface Tool Setup and Summary.mp4 | 7.2 MB | ||
| 5. Client to Endpoint using SageMaker SDK.mp4 | 77 MB | ||
| 5. Concept - How to evaluate regression model accuracy.mp4 | 9.5 MB | ||
| 5. Concept Classification Insights with AWS Histograms.mp4 | 12.6 MB | ||
| 5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 | 105 MB | ||
| 5. Demo - Movie Recommender Model Training.mp4 | 49.1 MB | ||
| 5. Demo - PCA with Correlated Dataset.mp4 | 47.2 MB | ||
| 5. Demo - XGBoost Example with Quadratic Fit.mp4 | 34.8 MB | ||
| 5. Improving Model Quality.mp4 | 14.1 MB | ||
| 5. Lab AWS S3 Bucket Setup and Configure Security.mp4 | 18.1 MB | ||
| 5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4 | 18.8 MB | ||
| 5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4 | 13.4 MB | ||
| 5. Lab Logistic Cost Function.mp4 | 7.5 MB | ||
| 5. Lab Performance of Model with Degree 4 Features.mp4 | 6.6 MB | ||
| 5. Numeric Transformation - Normalization.mp4 | 7 MB | ||
| 5. Underfitting and Normalization Quiz.html | 102.4 B | ||
| 6. Cartesian Product Transformation - Categorical and Text.mp4 | 3.9 MB | ||
| 6. Cleanup Resources on SageMaker.html | 921.6 B | ||
| 6. Client to Endpoint using Boto3 SDK.mp4 | 38.3 MB | ||
| 6. Concept AUC Metric.mp4 | 4.2 MB | ||
| 6. Demo - Bike Rental Model Training.mp4 | 77.3 MB | ||
| 6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 | 97.1 MB | ||
| 6. Demo - Movie Predictions By User.mp4 | 69 MB | ||
| 6. Lab Cost Example.mp4 | 9.1 MB | ||
| 6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4 | 9.9 MB | ||
| 6. Lab Evaluate predictive quality of the trained model.mp4 | 28.7 MB | ||
| 6. Lab Invoking Prediction From AWS Command Line Interface.mp4 | 15.1 MB | ||
| 6. Lab Performance of Model With Degree 15 Features.mp4 | 3.7 MB | ||
| 6. Model Maintenance.mp4 | 13.2 MB | ||
| 6. Six Advantages of Cloud Computing.mp4 | 30.3 MB | ||
| 6. Summary.mp4 | 2.2 MB | ||
| 6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf | 105.4 KB | ||
| 6.1 aws_ml_command_line.txt.txt | 614.4 B | ||
| 7. AWS Global Infrastructure Overview.mp4 | 40.1 MB | ||
| 7. AWS Machine Learning System Limits.mp4 | 4.3 MB | ||
| 7. Demo - Bike Rental Prediction.mp4 | 48.6 MB | ||
| 7. Demo - Kaggle Bike Rental Model Version 1.mp4 | 96.2 MB | ||
| 7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4 | 32.8 MB | ||
| 7. Introduction and House Keeping Quiz.html | 102.4 B | ||
| 7. Lab Batch Prediction and Computing Metrics using Python Code.mp4 | 26.9 MB | ||
| 7. Lab Invoking Prediction From Python Client.mp4 | 10.5 MB | ||
| 7. Lab Review Default Recipe Settings Used To Train model.mp4 | 4.6 MB | ||
| 7. Lab Review Diabetes Model Performance.mp4 | 18 MB | ||
| 7. Microservice - Lambda to Endpoint - Payload.mp4 | 23.7 MB | ||
| 7. Optimizing Weights.mp4 | 9.2 MB | ||
| 7. Summary.mp4 | 711.9 KB | ||
| 8. AWS Machine Learning Pricing.mp4 | 4.9 MB | ||
| 8. Demo - DeepAR Categories.mp4 | 64.6 MB | ||
| 8. Demo - Kaggle Bike Rental Model Version 2.mp4 | 41.9 MB | ||
| 8. Demo - PCA Local Model with Kaggle Bike Train.mp4 | 30.5 MB | ||
| 8. Lab Cutoff Threshold Interactive Testing.mp4 | 6.2 MB | ||
| 8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4 | 37.4 MB | ||
| 8. Lab Train Model With Custom Recipe and Review Performance.mp4 | 22.1 MB | ||
| 8. Microservice - Lambda to Endpoint.mp4 | 74.2 MB | ||
| 8. Optional Machine Learning Where To Start (Article).html | 6.5 KB | ||
| 8. Summary.mp4 | 6.6 MB | ||
| 9. Demo - DeepAR Dynamic Features Data Preparation.mp4 | 67.6 MB | ||
| 9. Demo - Kaggle Bike Rental Model Version 3.mp4 | 35.5 MB | ||
| 9. Demo - PCA training with SageMaker.mp4 | 38.7 MB | ||
| 9. Lab Evaluating Prediction Quality With Additional Dataset.mp4 | 19.9 MB | ||
| 9. Lab Invoking Prediction From Web Page AngularJS Client.mp4 | 20.4 MB | ||
| 9. Logistic Regression Quiz.html | 102.4 B | ||
| 9. Machine Learning Terminology.mp4 | 7 MB | ||
| 9. Microservice - API Gateway, Lambda to Endpoint.mp4 | 84.1 MB | ||
| 9. Model Performance Summary and Conclusion.mp4 | 5.1 MB | ||
| [FreeCourseLab.com].url | 102.4 B | ||
| ▲ 215 total files | |||
Udemy - 2019 AWS SageMaker and Machine Learning - With Python
Learn about cloud based machine learning algorithms and how to integrate with your applications
Created by Chandra Lingam
Last updated 5/2019
For more Udemy Courses: https://freecourselab.com
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2019 Learn Modern Javascript Getting Started Steven Hancock ~ Udemy (mp4) Posted by
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