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Udemy - 2019 AWS SageMaker and Machine Learning - With Python

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 4.6 GB
  • Uploaded By Fclab
  • Downloads 166
  • Last checked 4 weeks ago
  • Date uploaded 1 month ago
  • Seeders 7
  • Leechers 6

Infohash : 9D4E71F47E4E04B23B66EE59C078DFD138D6F21D

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: //freecourselab.com

Files:

[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python 1. Introduction and Housekeeping
  • 1. Introduction.mp4 (3.6 MB)
  • 1.1 Machine Learning at AWS Introduction_WM.pdf.pdf (62.8 KB)
  • 2. Root Account Setup and Billing Dashboard Overview.mp4 (6.0 MB)
  • 2.1 AWS HouseKeeping_WM.pdf.pdf (112.9 KB)
  • 3. Enable Access to Billing Data for IAM Users.mp4 (9.7 MB)
  • 4. Create Users Required For the Course.mp4 (25.8 MB)
  • 5. AWS Command Line Interface Tool Setup and Summary.mp4 (7.2 MB)
  • 6. Six Advantages of Cloud Computing.mp4 (30.3 MB)
  • 6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf (105.4 KB)
  • 7. AWS Global Infrastructure Overview.mp4 (40.1 MB)
10. 2019 SageMaker HyperParameter Tuning
  • 1. Downloadable Resources.html (0.2 KB)
  • 1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf (71.0 KB)
  • 1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx (10.6 KB)
  • 2. Introduction to Hyperparameter Tuning.mp4 (42.4 MB)
  • 3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 (154.0 MB)
  • 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 (0.8 KB)
  • 10. Data Types supported by AWS Machine Learning.mp4 (5.3 MB)
  • 11. Linear Regression Introduction.mp4 (12.7 MB)
  • 12. Binary Classification Introduction.mp4 (9.2 MB)
  • 13. Multiclass Classification Introduction.mp4 (6.0 MB)
  • 14. Data Visualization - Linear, Log, Quadratic and More.mp4 (17.4 MB)
  • 15. Algorithm and Terminology Quiz.html (0.1 KB)
  • 2. Python Development Environment and Boto3 Setup.mp4 (15.0 MB)
  • 3. Project Source Code and Data Setup.mp4 (10.0 MB)
  • 3.1 ProjectSetup.zip.zip (1.6 MB)
  • 4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4 (31.8 MB)
  • 5. Lab AWS S3 Bucket Setup and Configure Security.mp4 (18.1 MB)
  • 6. Summary.mp4 (2.2 MB)
  • 7. Introduction and House Keeping Quiz.html (0.1 KB)
  • 8. Optional Machine Learning Where To Start (Article).html (6.5 KB)
  • 9. Machine Learning Terminology.mp4 (7.0 MB)
12. Linear Regression
  • 1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4 (31.3 MB)
  • 2. Lab Linear Regression for complex shapes.mp4 (11.4 MB)
  • 3. Summary.mp4 (3.9 MB)
  • 4. Linear Regression Quiz.html (0.1 KB)
13. AWS - Linear Regression Models
  • 1. Lab Simple Training Data.mp4 (15.5 MB)
  • 10. AWS Regression Metrics Quiz.html (0.1 KB)
  • 2. Lab Datasource.mp4 (28.9 MB)
  • 3. Lab Train Model with default recipe.mp4 (9.8 MB)
  • 4. AWS Models Quiz.html (0.1 KB)
  • 5. Concept - How to evaluate regression model accuracy.mp4 (9.5 MB)
  • 6. Lab Evaluate predictive quality of the trained model.mp4 (28.7 MB)
  • 7. Lab Review Default Recipe Settings Used To Train model.mp4 (4.6 MB)
  • 8. Lab Train Model With Custom Recipe and Review Performance.mp4 (22.1 MB)
  • 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)
  • 2. Lab Underfitting With Linear Features.mp4 (44.9 MB)
  • 3. Lab Normal Fit With Quadratic Features.mp4 (27.3 MB)
  • 4. Summary.mp4 (3.3 MB)
15. Normalization
  • 1. Lab Impact of Features With Different Magnitude.mp4 (37.7 MB)
  • 2. Concept Normalization to smoothen magnitude differences.mp4 (13.2 MB)
  • 3. Lab Train Model With Feature Normalizaton.mp4 (23.0 MB)
  • 4. Summary.mp4 (3.2 MB)
  • 5. Underfitting and Normalization Quiz.html (0.1 KB)
16. Adding Complex Features
  • 1. Lab Prepare Training Data.mp4 (8.1 MB)
  • 2. Lab Adding Complex Features.mp4 (4.8 MB)
  • 3. Lab Train Model With Higher Order Features.mp4 (26.5 MB)
  • 4. Lab Performance Of Model With Degree 1 Features.mp4 (7.0 MB)
  • 5. Lab Performance of Model with Degree 4 Features.mp4 (6.6 MB)
  • 6. Lab Performance of Model With Degree 15 Features.mp4 (3.7 MB)
  • 7. Summary.mp4 (3.7 MB)
17. Kaggle Bike Hourly Rental Prediction
  • 1. Review Kaggle Bike Train Problem And Dataset.mp4 (37.9 MB)
  • 2. Lab Train Model To Predict Hourly Rental.mp4 (13.3 MB)
  • 3. Lab Evaluate Prediction Quality.mp4 (23.1 MB)
  • 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)
  • 2. Lab Binary Classification Approach.mp4 (19.6 MB)
  • 3. True Positive, True Negative, False Positive and False Negative.mp4 (18.7 MB)
  • 4. Lab Logistic Optimization Objectives.mp4 (12.6 MB)
  • 5. Lab Logistic Cost Function.mp4 (7.5 MB)
  • 6. Lab Cost Example.mp4 (9.1 MB)
  • 7. Optimizing Weights.mp4 (9.2 MB)
  • 8. Summary.mp4 (7.0 MB)
  • 9. Logistic Regression Quiz.html (0.1 KB)
19. Onset of Diabetes Prediction
  • 1. Problem Objective, Input Data and Strategy.mp4 (22.4 MB)
  • 10. Lab Batch Prediction and Compute Metrics.mp4 (22.7 MB)
  • 11. Summary.mp4 (4.4 MB)
  • 12. Logistic Regression Metrics Quiz.html (0.1 KB)
  • 2. Lab Prepare For Training.mp4 (8.6 MB)
  • 3. Lab Training a Classification Model.mp4 (13.2 MB)
  • 4. Concept Classification Metrics.mp4 (10.3 MB)
  • 5. Concept Classification Insights with AWS Histograms.mp4 (12.6 MB)
  • 6. Concept AUC Metric.mp4 (4.2 MB)
  • 7. Lab Review Diabetes Model Performance.mp4 (18.0 MB)
  • 8. Lab Cutoff Threshold Interactive Testing.mp4 (6.2 MB)
  • 9. Lab Evaluating Prediction Quality With Additional Dataset.mp4 (19.9 MB)
2. 2019 SageMaker Housekeeping
  • 1. Downloadable Resources.html (0.2 KB)
  • 1.1 SourceCode and Data Setup.pdf.pdf (179.4 KB)
  • 1.2 AWS Introduction ML Concepts.pdf.pdf (266.9 KB)
  • 2. Demo - S3 Bucket Setup.mp4 (20.6 MB)
  • 3. Demo - Setup SageMaker Notebook Instance.mp4 (41.9 MB)
  • 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)
  • 2. Lab Train Classifier with Default and Custom Recipe.mp4 (23.6 MB)
  • 3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4 (5.0 MB)
  • 4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4 (10.0 MB)
  • 5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4 (13.4 MB)
  • 6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4 (9.9 MB)
  • 7. Lab Batch Prediction and Computing Metrics using Python Code.mp4 (26.9 MB)
  • 8. Summary.mp4 (6.6 MB)
21. Text Based Classification with AWS Twitter Dataset
  • 1. AWS Twitter Feed Classification for Customer Service.mp4 (14.6 MB)
  • 2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4 (29.0 MB)
  • 3. Lab Interactive Prediction with AWS.mp4 (11.7 MB)
  • 4. Logistic Regression Summary.mp4 (1.5 MB)
22. Data Transformation using Recipes
  • 1. Recipe Overview.mp4 (8.5 MB)
  • 2. Recipe Example.mp4 (10.2 MB)
  • 3. Text Transformation.mp4 (13.3 MB)
  • 4. Numeric Transformation - Quantile Binning.mp4 (4.6 MB)
  • 5. Numeric Transformation - Normalization.mp4 (7.0 MB)
  • 6. Cartesian Product Transformation - Categorical and Text.mp4 (3.9 MB)
  • 7. Summary.mp4 (711.9 KB)
23. Hyper Parameters, Model Optimization and Lifecycle
  • 1. Introduction.mp4 (1.0 MB)
  • 2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4 (15.3 MB)
  • 3. Regularization, Learning Rate.mp4 (5.8 MB)
  • 4. Regularization Effect.mp4 (5.9 MB)
  • 5. Improving Model Quality.mp4 (14.1 MB)
  • 6. Model Maintenance.mp4 (13.2 MB)
  • 7. AWS Machine Learning System Limits.mp4 (4.3 MB)
  • 8. AWS Machine Learning Pricing.mp4 (4.9 MB)
24. Integration of AWS Machine Learning With Your Application
  • 1. Introduction.mp4 (5.3 MB)
  • 10. Demo Allowing Prediction Only For Registered Users.mp4 (3.5 MB)
  • 11. Cognito Overview.mp4 (3.6 MB)
  • 12. Lab Cognito User Pool Configuration.mp4 (19.6 MB)
  • 13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4 (42.0 MB)
  • 14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4 (16.0 MB)
  • 15. Summary.mp4 (884.6 KB)
  • 2. Integration Scenarios.mp4 (4.6 MB)
  • 3. Security using IAM.mp4 (7.3 MB)
  • 4. Hands-on lab - List of Demos and Objective.mp4 (4.9 MB)
  • 5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4 (18.8 MB)
  • 6. Lab Invoking Prediction From AWS Command Line Interface.mp4 (15.1 MB)
  • 6.1 aws_ml_command_line.txt.txt (0.6 KB)
  • 7. Lab Invoking Prediction From Python Client.mp4 (10.5 MB)
  • 8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4 (37.4 MB)
  • 9. Lab Invoking Prediction From Web Page AngularJS Client.mp4 (20.4 MB)
25. Homework - Additional Problems
  • 1. Mushroom Classification.html (0.9 KB)
  • 1.1 MushroomData_Class.csv.csv (373.2 KB)
26. Conclusion
  • 1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html (8.5 KB)
  • 2. Conclusion.mp4 (1.3 MB)
3. 2019 Machine Learning Concepts
  • 1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 (70.2 MB)
  • 2. 2019 Data Types - How to handle mixed data types.mp4 (102.2 MB)
  • 3. 2019 Introduction to Python Notebook Environment.mp4 (85.6 MB)
  • 4. 2019 Introduction to working with Missing Data.mp4 (81.7 MB)
  • 5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4 (37.8 MB)
4. 2019 SageMaker Service Overview
  • 1. Downloadable Resources.html (0.3 KB)
  • 1.1 AWS SageMaker_WM.pdf.pdf (221.3 KB)
  • 2. SageMaker Overview.mp4 (13.8 MB)
  • 3. Compute Instance Families and Pricing.mp4 (19.8 MB)
  • 4. Algorithms and Data Formats Supported For Training and Inference.mp4 (9.6 MB)
5. XGBoost - Gradient Boosted Trees
  • 1. Introduction to XGBoost.mp4 (72.6 MB)
  • 10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 (127.2 MB)
  • 11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4 (45.3 MB)
  • 12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4 (27.7 MB)
  • 13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html (0.9 KB)
  • 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 (0.5 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. Source Code Overview.mp4 (17.1 MB)
  • 3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4 (63.1 MB)
  • 4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 (99.7 MB)
  • 5. Demo - XGBoost Example with Quadratic Fit.mp4 (34.8 MB)
  • 6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 (97.1 MB)
  • 7. Demo - Kaggle Bike Rental Model Version 1.mp4 (96.2 MB)
  • 8. Demo - Kaggle Bike Rental Model Version 2.mp4 (41.9 MB)
  • 9. Demo - Kaggle Bike Rental Model Version 3.mp4 (35.5 MB)
6. SageMaker - Principal Component Analysis (PCA)
  • 1. Downloadable Resources.html (0.3 KB)
  • 1.1 AWS SageMakerPCA_WM.pdf.pdf (118.7 KB)
  • 10. Demo - PCA Projection with SageMaker.mp4 (24.3 MB)
  • 11. Exercise Kaggle Bike Train and PCA.html (0.7 KB)
  • 12. Summary.mp4 (6.7 MB)
  • 2. Introduction to Principal Component Analysis (PCA).mp4 (52.6 MB)
  • 3. PCA Demo Overview.mp4 (5.1 MB)
  • 4. Demo - PCA with Random Dataset.mp4 (26.6 MB)
  • 5. Demo - PCA with Correlated Dataset.mp4 (47.2 MB)
  • 6. Cleanup Resources on SageMaker.html (0.9 KB)
  • 7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4 (32.8 MB)
  • 8. Demo - PCA Local Model with Kaggle Bike Train.mp4 (30.5 MB)
  • 9. Demo - PCA training with SageMaker.mp4 (38.7 MB)
7. SageMaker - Factorization Machines
  • 1. Downloadable Resources.html (0.3 KB)
  • 1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf (133.8 KB)
  • 2. Introduction to Factorization Machines.mp4 (36.1 MB)
  • 3. MovieLens Dataset.html (0.3 KB)
  • 4. Demo - Movie Recommender Data Preparation.mp4 (90.7 MB)
  • 5. Demo - Movie Recommender Model Training.mp4 (49.1 MB)
  • 6. Demo - Movie Predictions By User.mp4 (69.0 MB)
8. SageMaker - DeepAR Time Series Forecasting
  • 1. Downloadable Resources.html (0.3 KB)
  • 1.1 AWS SageMakerDeepAR_WM.pdf.pdf (176.0 KB)
  • 10. Demo - DeepAR Dynamic Features Training and Prediction.mp4 (26.9 MB)
  • 11. Summary.mp4 (11.0 MB)
  • 2. Introduction to DeepAR Time Series Forecasting.mp4 (75.8 MB)
  • 3. DeepAR Training and Inference Formats.mp4 (89.4 MB)
  • 4. Working with Time Series Data, Handling Missing Values.mp4 (65.9 MB)
  • 5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 (105.0 MB)
  • 6. Demo - Bike Rental Model Training.mp4 (77.3 MB)
  • 7. Demo - Bike Rental Prediction.mp4 (48.6 MB)
  • 8. Demo - DeepAR Categories.mp4 (64.6 MB)
  • 9. Demo - DeepAR Dynamic Features Data Preparation.mp4 (67.6 MB)
9. 2019 Integration Options - Model Endpoint
  • 1. Downloadable Resources.html (0.1 KB)
  • 1.1 AWS SageMaker Integration.pdf.pdf (116.6 KB)
  • 1.2 Local Machine - Housekeeping.pdf.pdf (200.9 KB)
  • 2. Integration Overview.mp4 (11.8 MB)
  • 3. Install Python and Boto3 - Local Machine.mp4 (13.6 MB)
  • 4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html (0.2 KB)
  • 4.1 Local Machine - Housekeeping.pdf.pdf (200.9 KB)
  • 5. Client to Endpoint using SageMaker SDK.mp4 (77.0 MB)
  • 6. Client to Endpoint using Boto3 SDK.mp4 (38.3 MB)
  • 7. Microservice - Lambda to Endpoint - Payload.mp4 (23.7 MB)
  • 8. Microservice - Lambda to Endpoint.mp4 (74.2 MB)
  • 9. Microservice - API Gateway, Lambda to Endpoint.mp4 (84.1 MB)
  • [FreeCourseLab.com].url (0.1 KB)

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