Tutorialsplanet NET Udemy 2019 AWS SageMaker and Machine Learning With Python

Tutorialsplanet NET Udemy 2019 AWS SageMaker and Machine Learning With Python

Name	[Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python	DOWNLOAD Copy Link
Total Size	4.9 GB
Total Files	215
Last Seen	2024-11-17 23:38
Hash	0B9DADCDED665FAB48E4F0FF8A8FB101DEE5F360

/1. Introduction and Housekeeping/
1. Introduction.mp4	3.8 MB
1.1 Machine Learning at AWS Introduction_WM.pdf.pdf	64.3 KB
2. Root Account Setup and Billing Dashboard Overview.mp4	6.2 MB
2.1 AWS HouseKeeping_WM.pdf.pdf	115.6 KB
3. Enable Access to Billing Data for IAM Users.mp4	10.2 MB
4. Create Users Required For the Course.mp4	27.1 MB
5. AWS Command Line Interface Tool Setup and Summary.mp4	7.6 MB
6. Six Advantages of Cloud Computing.mp4	31.8 MB
6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf	107.9 KB
7. AWS Global Infrastructure Overview.mp4	42.0 MB
/10. 2019 SageMaker HyperParameter Tuning/
1. Downloadable Resources.html	0.2 KB
1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf	72.7 KB
1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx	10.9 KB
2. Introduction to Hyperparameter Tuning.mp4	44.4 MB
3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4	161.5 MB
4. Lab Step 2 Tuning Movie Rating Recommender System.mp4	50.5 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	5.6 MB
11. Linear Regression Introduction.mp4	13.3 MB
12. Binary Classification Introduction.mp4	9.6 MB
13. Multiclass Classification Introduction.mp4	6.3 MB
14. Data Visualization - Linear, Log, Quadratic and More.mp4	18.3 MB
15. Algorithm and Terminology Quiz.html	0.2 KB
2. Python Development Environment and Boto3 Setup.mp4	15.7 MB
3. Project Source Code and Data Setup.mp4	10.5 MB
3.1 ProjectSetup.zip.zip	1.7 MB
4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4	33.3 MB
5. Lab AWS S3 Bucket Setup and Configure Security.mp4	18.9 MB
6. Summary.mp4	2.3 MB
7. Introduction and House Keeping Quiz.html	0.2 KB
8. Optional Machine Learning Where To Start (Article).html	6.6 KB
9. Machine Learning Terminology.mp4	7.4 MB
/12. Linear Regression/
1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4	32.8 MB
2. Lab Linear Regression for complex shapes.mp4	12.0 MB
3. Summary.mp4	4.1 MB
4. Linear Regression Quiz.html	0.2 KB
/13. AWS - Linear Regression Models/
1. Lab Simple Training Data.mp4	16.2 MB
10. AWS Regression Metrics Quiz.html	0.2 KB
2. Lab Datasource.mp4	30.3 MB
3. Lab Train Model with default recipe.mp4	10.3 MB
4. AWS Models Quiz.html	0.2 KB
5. Concept - How to evaluate regression model accuracy.mp4	10.0 MB
6. Lab Evaluate predictive quality of the trained model.mp4	30.1 MB
7. Lab Review Default Recipe Settings Used To Train model.mp4	4.8 MB
8. Lab Train Model With Custom Recipe and Review Performance.mp4	23.1 MB
9. Model Performance Summary and Conclusion.mp4	5.3 MB
/14. Adding Features To Improve Model/
1. Lab Quadratic Fit Training Data.mp4	16.2 MB
2. Lab Underfitting With Linear Features.mp4	47.1 MB
3. Lab Normal Fit With Quadratic Features.mp4	28.6 MB
4. Summary.mp4	3.4 MB
/15. Normalization/
1. Lab Impact of Features With Different Magnitude.mp4	39.5 MB
2. Concept Normalization to smoothen magnitude differences.mp4	13.9 MB
3. Lab Train Model With Feature Normalizaton.mp4	24.1 MB
4. Summary.mp4	3.3 MB
5. Underfitting and Normalization Quiz.html	0.2 KB
/16. Adding Complex Features/
1. Lab Prepare Training Data.mp4	8.5 MB
2. Lab Adding Complex Features.mp4	5.0 MB
3. Lab Train Model With Higher Order Features.mp4	27.8 MB
4. Lab Performance Of Model With Degree 1 Features.mp4	7.3 MB
5. Lab Performance of Model with Degree 4 Features.mp4	6.9 MB
6. Lab Performance of Model With Degree 15 Features.mp4	3.9 MB
7. Summary.mp4	3.8 MB
/17. Kaggle Bike Hourly Rental Prediction/
1. Review Kaggle Bike Train Problem And Dataset.mp4	39.7 MB
2. Lab Train Model To Predict Hourly Rental.mp4	14.0 MB
3. Lab Evaluate Prediction Quality.mp4	24.2 MB
4. Linear Regression Wrapup and Summary.mp4	3.6 MB
/18. Logistic Regression/
1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4	20.6 MB
2. Lab Binary Classification Approach.mp4	20.6 MB
3. True Positive, True Negative, False Positive and False Negative.mp4	19.6 MB
4. Lab Logistic Optimization Objectives.mp4	13.2 MB
5. Lab Logistic Cost Function.mp4	7.8 MB
6. Lab Cost Example.mp4	9.6 MB
7. Optimizing Weights.mp4	9.7 MB
8. Summary.mp4	7.4 MB
9. Logistic Regression Quiz.html	0.2 KB
/19. Onset of Diabetes Prediction/
1. Problem Objective, Input Data and Strategy.mp4	23.5 MB
10. Lab Batch Prediction and Compute Metrics.mp4	23.8 MB
11. Summary.mp4	4.6 MB
12. Logistic Regression Metrics Quiz.html	0.2 KB
2. Lab Prepare For Training.mp4	9.0 MB
3. Lab Training a Classification Model.mp4	13.9 MB
4. Concept Classification Metrics.mp4	10.8 MB
5. Concept Classification Insights with AWS Histograms.mp4	13.2 MB
6. Concept AUC Metric.mp4	4.4 MB
7. Lab Review Diabetes Model Performance.mp4	18.9 MB
8. Lab Cutoff Threshold Interactive Testing.mp4	6.5 MB
9. Lab Evaluating Prediction Quality With Additional Dataset.mp4	20.9 MB
/2. 2019 SageMaker Housekeeping/
1. Downloadable Resources.html	0.2 KB
1.1 SourceCode and Data Setup.pdf.pdf	183.7 KB
1.2 AWS Introduction ML Concepts.pdf.pdf	273.3 KB
2. Demo - S3 Bucket Setup.mp4	21.6 MB
3. Demo - Setup SageMaker Notebook Instance.mp4	44.0 MB
4. 2019 Demo - Source Code and Data Setup.mp4	34.9 MB
/20. Multiclass Classifiers using Multinomial Logistic Regression/
1. Lab Iris Classifcation.mp4	22.1 MB
2. Lab Train Classifier with Default and Custom Recipe.mp4	24.8 MB
3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4	5.2 MB
4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4	10.4 MB
5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4	14.0 MB
6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4	10.4 MB
7. Lab Batch Prediction and Computing Metrics using Python Code.mp4	28.3 MB
8. Summary.mp4	6.9 MB
/21. Text Based Classification with AWS Twitter Dataset/
1. AWS Twitter Feed Classification for Customer Service.mp4	15.3 MB
2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4	30.4 MB
3. Lab Interactive Prediction with AWS.mp4	12.3 MB
4. Logistic Regression Summary.mp4	1.6 MB
/22. Data Transformation using Recipes/
1. Recipe Overview.mp4	8.9 MB
2. Recipe Example.mp4	10.7 MB
3. Text Transformation.mp4	13.9 MB
4. Numeric Transformation - Quantile Binning.mp4	4.9 MB
5. Numeric Transformation - Normalization.mp4	7.3 MB
6. Cartesian Product Transformation - Categorical and Text.mp4	4.1 MB
7. Summary.mp4	729.0 KB
/23. Hyper Parameters, Model Optimization and Lifecycle/
1. Introduction.mp4	1.1 MB
2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4	16.1 MB
3. Regularization, Learning Rate.mp4	6.0 MB
4. Regularization Effect.mp4	6.2 MB
5. Improving Model Quality.mp4	14.8 MB
6. Model Maintenance.mp4	13.9 MB
7. AWS Machine Learning System Limits.mp4	4.5 MB
8. AWS Machine Learning Pricing.mp4	5.2 MB
/24. Integration of AWS Machine Learning With Your Application/
1. Introduction.mp4	5.6 MB
10. Demo Allowing Prediction Only For Registered Users.mp4	3.7 MB
11. Cognito Overview.mp4	3.8 MB
12. Lab Cognito User Pool Configuration.mp4	20.6 MB
13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4	44.0 MB
14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4	16.8 MB
15. Summary.mp4	905.8 KB
2. Integration Scenarios.mp4	4.8 MB
3. Security using IAM.mp4	7.7 MB
4. Hands-on lab - List of Demos and Objective.mp4	5.1 MB
5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4	19.7 MB
6. Lab Invoking Prediction From AWS Command Line Interface.mp4	15.8 MB
6.1 aws_ml_command_line.txt.txt	0.6 KB
7. Lab Invoking Prediction From Python Client.mp4	11.0 MB
8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4	39.2 MB
9. Lab Invoking Prediction From Web Page AngularJS Client.mp4	21.4 MB
/25. Homework - Additional Problems/
1. Mushroom Classification.html	1.0 KB
1.1 MushroomData_Class.csv.csv	382.1 KB
/26. Conclusion/
1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html	8.7 KB
2. Conclusion.mp4	1.3 MB
/3. 2019 Machine Learning Concepts/
1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4	73.6 MB
2. 2019 Data Types - How to handle mixed data types.mp4	107.2 MB
3. 2019 Introduction to Python Notebook Environment.mp4	89.7 MB
4. 2019 Introduction to working with Missing Data.mp4	85.7 MB
5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4	39.6 MB
/4. 2019 SageMaker Service Overview/
1. Downloadable Resources.html	0.3 KB
1.1 AWS SageMaker_WM.pdf.pdf	226.6 KB
2. SageMaker Overview.mp4	14.5 MB
3. Compute Instance Families and Pricing.mp4	20.8 MB
4. Algorithms and Data Formats Supported For Training and Inference.mp4	10.0 MB
/5. XGBoost - Gradient Boosted Trees/
1. Introduction to XGBoost.mp4	76.1 MB
10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4	133.4 MB
11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4	47.5 MB
12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4	29.0 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	29.2 KB
14. Creating EndPoint From Existing Model Artifacts.html	0.5 KB
15. XGBoost Hyper Parameter Tuning.mp4	53.7 MB
16. Demo - XGBoost Multi-Class Classification Iris Data.mp4	85.8 MB
17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4	47.4 MB
18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4	49.7 MB
19. Summary - XGBoost.mp4	13.9 MB
2. Source Code Overview.mp4	18.0 MB
3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4	66.2 MB
4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4	104.5 MB
5. Demo - XGBoost Example with Quadratic Fit.mp4	36.5 MB
6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4	101.8 MB
7. Demo - Kaggle Bike Rental Model Version 1.mp4	100.8 MB
8. Demo - Kaggle Bike Rental Model Version 2.mp4	43.9 MB
9. Demo - Kaggle Bike Rental Model Version 3.mp4	37.2 MB
/6. SageMaker - Principal Component Analysis (PCA)/
1. Downloadable Resources.html	0.3 KB
1.1 AWS SageMakerPCA_WM.pdf.pdf	121.5 KB
10. Demo - PCA Projection with SageMaker.mp4	25.5 MB
11. Exercise Kaggle Bike Train and PCA.html	0.7 KB
12. Summary.mp4	7.0 MB
2. Introduction to Principal Component Analysis (PCA).mp4	55.1 MB
3. PCA Demo Overview.mp4	5.3 MB
4. Demo - PCA with Random Dataset.mp4	27.9 MB
5. Demo - PCA with Correlated Dataset.mp4	49.5 MB
6. Cleanup Resources on SageMaker.html	0.9 KB
7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4	34.4 MB
8. Demo - PCA Local Model with Kaggle Bike Train.mp4	32.0 MB
9. Demo - PCA training with SageMaker.mp4	40.6 MB
/7. SageMaker - Factorization Machines/
1. Downloadable Resources.html	0.3 KB
1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf	137.0 KB
2. Introduction to Factorization Machines.mp4	37.8 MB
3. MovieLens Dataset.html	0.3 KB
4. Demo - Movie Recommender Data Preparation.mp4	95.1 MB
5. Demo - Movie Recommender Model Training.mp4	51.4 MB
6. Demo - Movie Predictions By User.mp4	72.3 MB
/8. SageMaker - DeepAR Time Series Forecasting/
1. Downloadable Resources.html	0.3 KB
1.1 AWS SageMakerDeepAR_WM.pdf.pdf	180.2 KB
10. Demo - DeepAR Dynamic Features Training and Prediction.mp4	28.2 MB
11. Summary.mp4	11.5 MB
2. Introduction to DeepAR Time Series Forecasting.mp4	79.5 MB
3. DeepAR Training and Inference Formats.mp4	93.8 MB
4. Working with Time Series Data, Handling Missing Values.mp4	69.1 MB
5. Demo - Bike Rental as Time Series Forecasting Problem.mp4	110.1 MB
6. Demo - Bike Rental Model Training.mp4	81.0 MB
7. Demo - Bike Rental Prediction.mp4	51.0 MB
8. Demo - DeepAR Categories.mp4	67.7 MB
9. Demo - DeepAR Dynamic Features Data Preparation.mp4	70.9 MB
/9. 2019 Integration Options - Model Endpoint/
1. Downloadable Resources.html	0.1 KB
1.1 AWS SageMaker Integration.pdf.pdf	119.4 KB
1.2 Local Machine - Housekeeping.pdf.pdf	205.7 KB
2. Integration Overview.mp4	12.3 MB
3. Install Python and Boto3 - Local Machine.mp4	14.3 MB
4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html	0.2 KB
4.1 Local Machine - Housekeeping.pdf.pdf	205.7 KB
5. Client to Endpoint using SageMaker SDK.mp4	80.7 MB
6. Client to Endpoint using Boto3 SDK.mp4	40.1 MB
7. Microservice - Lambda to Endpoint - Payload.mp4	24.8 MB
8. Microservice - Lambda to Endpoint.mp4	77.8 MB
9. Microservice - API Gateway, Lambda to Endpoint.mp4	88.2 MB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 215