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[Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python
Size 4.59 GB
Files 215
Info Hash: 0B9DADCDED665FAB48E4F0FF8A8FB101DEE5F360
Indexed 2020-02-01 00:00:00
Updated 2020-02-01 00:00:00
📂 File List (215)
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1. Introduction and Housekeeping/1. Introduction.mp4
3.62 MB
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1. Introduction and Housekeeping/1.1 Machine Learning at AWS Introduction_WM.pdf.pdf
62.78 KB
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1. Introduction and Housekeeping/2. Root Account Setup and Billing Dashboard Overview.mp4
5.96 MB
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1. Introduction and Housekeeping/2.1 AWS HouseKeeping_WM.pdf.pdf
112.87 KB
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1. Introduction and Housekeeping/3. Enable Access to Billing Data for IAM Users.mp4
9.71 MB
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1. Introduction and Housekeeping/4. Create Users Required For the Course.mp4
25.8 MB
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1. Introduction and Housekeeping/5. AWS Command Line Interface Tool Setup and Summary.mp4
7.21 MB
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1. Introduction and Housekeeping/6. Six Advantages of Cloud Computing.mp4
30.31 MB
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1. Introduction and Housekeeping/6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf
105.41 KB
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1. Introduction and Housekeeping/7. AWS Global Infrastructure Overview.mp4
40.08 MB
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10. 2019 SageMaker HyperParameter Tuning/1. Downloadable Resources.html
159 B
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10. 2019 SageMaker HyperParameter Tuning/1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf
71 KB
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10. 2019 SageMaker HyperParameter Tuning/1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx
10.65 KB
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10. 2019 SageMaker HyperParameter Tuning/2. Introduction to Hyperparameter Tuning.mp4
42.37 MB
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10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4
154.02 MB
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10. 2019 SageMaker HyperParameter Tuning/4. Lab Step 2 Tuning Movie Rating Recommender System.mp4
48.13 MB
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11. AWS Machine Learning Service/1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html
837 B
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11. AWS Machine Learning Service/10. Data Types supported by AWS Machine Learning.mp4
5.34 MB
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11. AWS Machine Learning Service/11. Linear Regression Introduction.mp4
12.67 MB
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11. AWS Machine Learning Service/12. Binary Classification Introduction.mp4
9.19 MB
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11. AWS Machine Learning Service/13. Multiclass Classification Introduction.mp4
6.03 MB
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11. AWS Machine Learning Service/14. Data Visualization - Linear, Log, Quadratic and More.mp4
17.42 MB
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11. AWS Machine Learning Service/15. Algorithm and Terminology Quiz.html
152 B
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11. AWS Machine Learning Service/2. Python Development Environment and Boto3 Setup.mp4
14.96 MB
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11. AWS Machine Learning Service/3. Project Source Code and Data Setup.mp4
10 MB
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11. AWS Machine Learning Service/3.1 ProjectSetup.zip.zip
1.61 MB
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11. AWS Machine Learning Service/4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4
31.75 MB
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11. AWS Machine Learning Service/5. Lab AWS S3 Bucket Setup and Configure Security.mp4
18.06 MB
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11. AWS Machine Learning Service/6. Summary.mp4
2.17 MB
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11. AWS Machine Learning Service/7. Introduction and House Keeping Quiz.html
152 B
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11. AWS Machine Learning Service/8. Optional Machine Learning Where To Start (Article).html
6.48 KB
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11. AWS Machine Learning Service/9. Machine Learning Terminology.mp4
7.05 MB
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12. Linear Regression/1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4
31.26 MB
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12. Linear Regression/2. Lab Linear Regression for complex shapes.mp4
11.43 MB
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12. Linear Regression/3. Summary.mp4
3.86 MB
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12. Linear Regression/4. Linear Regression Quiz.html
152 B
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13. AWS - Linear Regression Models/1. Lab Simple Training Data.mp4
15.48 MB
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13. AWS - Linear Regression Models/10. AWS Regression Metrics Quiz.html
152 B
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13. AWS - Linear Regression Models/2. Lab Datasource.mp4
28.93 MB
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13. AWS - Linear Regression Models/3. Lab Train Model with default recipe.mp4
9.8 MB
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13. AWS - Linear Regression Models/4. AWS Models Quiz.html
152 B
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13. AWS - Linear Regression Models/5. Concept - How to evaluate regression model accuracy.mp4
9.53 MB
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13. AWS - Linear Regression Models/6. Lab Evaluate predictive quality of the trained model.mp4
28.72 MB
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13. AWS - Linear Regression Models/7. Lab Review Default Recipe Settings Used To Train model.mp4
4.56 MB
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13. AWS - Linear Regression Models/8. Lab Train Model With Custom Recipe and Review Performance.mp4
22.05 MB
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13. AWS - Linear Regression Models/9. Model Performance Summary and Conclusion.mp4
5.06 MB
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14. Adding Features To Improve Model/1. Lab Quadratic Fit Training Data.mp4
15.41 MB
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14. Adding Features To Improve Model/2. Lab Underfitting With Linear Features.mp4
44.89 MB
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14. Adding Features To Improve Model/3. Lab Normal Fit With Quadratic Features.mp4
27.3 MB
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14. Adding Features To Improve Model/4. Summary.mp4
3.28 MB
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15. Normalization/1. Lab Impact of Features With Different Magnitude.mp4
37.69 MB
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15. Normalization/2. Concept Normalization to smoothen magnitude differences.mp4
13.24 MB
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15. Normalization/3. Lab Train Model With Feature Normalizaton.mp4
23.01 MB
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15. Normalization/4. Summary.mp4
3.17 MB
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15. Normalization/5. Underfitting and Normalization Quiz.html
152 B
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16. Adding Complex Features/1. Lab Prepare Training Data.mp4
8.14 MB
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16. Adding Complex Features/2. Lab Adding Complex Features.mp4
4.8 MB
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16. Adding Complex Features/3. Lab Train Model With Higher Order Features.mp4
26.54 MB
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16. Adding Complex Features/4. Lab Performance Of Model With Degree 1 Features.mp4
6.98 MB
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16. Adding Complex Features/5. Lab Performance of Model with Degree 4 Features.mp4
6.62 MB
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16. Adding Complex Features/6. Lab Performance of Model With Degree 15 Features.mp4
3.68 MB
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16. Adding Complex Features/7. Summary.mp4
3.66 MB
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17. Kaggle Bike Hourly Rental Prediction/1. Review Kaggle Bike Train Problem And Dataset.mp4
37.86 MB
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17. Kaggle Bike Hourly Rental Prediction/2. Lab Train Model To Predict Hourly Rental.mp4
13.32 MB
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17. Kaggle Bike Hourly Rental Prediction/3. Lab Evaluate Prediction Quality.mp4
23.09 MB
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17. Kaggle Bike Hourly Rental Prediction/4. Linear Regression Wrapup and Summary.mp4
3.39 MB
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18. Logistic Regression/1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4
19.68 MB
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18. Logistic Regression/2. Lab Binary Classification Approach.mp4
19.63 MB
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18. Logistic Regression/3. True Positive, True Negative, False Positive and False Negative.mp4
18.68 MB
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18. Logistic Regression/4. Lab Logistic Optimization Objectives.mp4
12.58 MB
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18. Logistic Regression/5. Lab Logistic Cost Function.mp4
7.46 MB
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18. Logistic Regression/6. Lab Cost Example.mp4
9.14 MB
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18. Logistic Regression/7. Optimizing Weights.mp4
9.21 MB
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18. Logistic Regression/8. Summary.mp4
7.04 MB
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18. Logistic Regression/9. Logistic Regression Quiz.html
152 B
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19. Onset of Diabetes Prediction/1. Problem Objective, Input Data and Strategy.mp4
22.37 MB
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19. Onset of Diabetes Prediction/10. Lab Batch Prediction and Compute Metrics.mp4
22.66 MB
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19. Onset of Diabetes Prediction/11. Summary.mp4
4.39 MB
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19. Onset of Diabetes Prediction/12. Logistic Regression Metrics Quiz.html
152 B
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19. Onset of Diabetes Prediction/2. Lab Prepare For Training.mp4
8.59 MB
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19. Onset of Diabetes Prediction/3. Lab Training a Classification Model.mp4
13.23 MB
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19. Onset of Diabetes Prediction/4. Concept Classification Metrics.mp4
10.29 MB
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19. Onset of Diabetes Prediction/5. Concept Classification Insights with AWS Histograms.mp4
12.62 MB
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19. Onset of Diabetes Prediction/6. Concept AUC Metric.mp4
4.17 MB
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19. Onset of Diabetes Prediction/7. Lab Review Diabetes Model Performance.mp4
18.01 MB
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19. Onset of Diabetes Prediction/8. Lab Cutoff Threshold Interactive Testing.mp4
6.21 MB
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19. Onset of Diabetes Prediction/9. Lab Evaluating Prediction Quality With Additional Dataset.mp4
19.94 MB
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2. 2019 SageMaker Housekeeping/1. Downloadable Resources.html
166 B
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2. 2019 SageMaker Housekeeping/1.1 SourceCode and Data Setup.pdf.pdf
179.38 KB
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2. 2019 SageMaker Housekeeping/1.2 AWS Introduction ML Concepts.pdf.pdf
266.86 KB
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2. 2019 SageMaker Housekeeping/2. Demo - S3 Bucket Setup.mp4
20.59 MB
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2. 2019 SageMaker Housekeeping/3. Demo - Setup SageMaker Notebook Instance.mp4
41.93 MB
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2. 2019 SageMaker Housekeeping/4. 2019 Demo - Source Code and Data Setup.mp4
33.32 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/1. Lab Iris Classifcation.mp4
21.1 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/2. Lab Train Classifier with Default and Custom Recipe.mp4
23.61 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4
5 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4
9.95 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4
13.36 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4
9.95 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/7. Lab Batch Prediction and Computing Metrics using Python Code.mp4
26.95 MB
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20. Multiclass Classifiers using Multinomial Logistic Regression/8. Summary.mp4
6.58 MB
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21. Text Based Classification with AWS Twitter Dataset/1. AWS Twitter Feed Classification for Customer Service.mp4
14.57 MB
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21. Text Based Classification with AWS Twitter Dataset/2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4
29.03 MB
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21. Text Based Classification with AWS Twitter Dataset/3. Lab Interactive Prediction with AWS.mp4
11.74 MB
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21. Text Based Classification with AWS Twitter Dataset/4. Logistic Regression Summary.mp4
1.52 MB
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22. Data Transformation using Recipes/1. Recipe Overview.mp4
8.49 MB
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22. Data Transformation using Recipes/2. Recipe Example.mp4
10.18 MB
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22. Data Transformation using Recipes/3. Text Transformation.mp4
13.27 MB
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22. Data Transformation using Recipes/4. Numeric Transformation - Quantile Binning.mp4
4.63 MB
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22. Data Transformation using Recipes/5. Numeric Transformation - Normalization.mp4
6.99 MB
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22. Data Transformation using Recipes/6. Cartesian Product Transformation - Categorical and Text.mp4
3.95 MB
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22. Data Transformation using Recipes/7. Summary.mp4
711.87 KB
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23. Hyper Parameters, Model Optimization and Lifecycle/1. Introduction.mp4
1.02 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4
15.34 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/3. Regularization, Learning Rate.mp4
5.76 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/4. Regularization Effect.mp4
5.94 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/5. Improving Model Quality.mp4
14.1 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/6. Model Maintenance.mp4
13.22 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/7. AWS Machine Learning System Limits.mp4
4.32 MB
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23. Hyper Parameters, Model Optimization and Lifecycle/8. AWS Machine Learning Pricing.mp4
4.94 MB
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24. Integration of AWS Machine Learning With Your Application/1. Introduction.mp4
5.32 MB
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24. Integration of AWS Machine Learning With Your Application/10. Demo Allowing Prediction Only For Registered Users.mp4
3.51 MB
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24. Integration of AWS Machine Learning With Your Application/11. Cognito Overview.mp4
3.61 MB
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24. Integration of AWS Machine Learning With Your Application/12. Lab Cognito User Pool Configuration.mp4
19.63 MB
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24. Integration of AWS Machine Learning With Your Application/13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4
41.97 MB
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24. Integration of AWS Machine Learning With Your Application/14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4
16.03 MB
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24. Integration of AWS Machine Learning With Your Application/15. Summary.mp4
884.55 KB
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24. Integration of AWS Machine Learning With Your Application/2. Integration Scenarios.mp4
4.56 MB
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24. Integration of AWS Machine Learning With Your Application/3. Security using IAM.mp4
7.3 MB
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24. Integration of AWS Machine Learning With Your Application/4. Hands-on lab - List of Demos and Objective.mp4
4.88 MB
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24. Integration of AWS Machine Learning With Your Application/5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4
18.83 MB
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24. Integration of AWS Machine Learning With Your Application/6. Lab Invoking Prediction From AWS Command Line Interface.mp4
15.09 MB
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24. Integration of AWS Machine Learning With Your Application/6.1 aws_ml_command_line.txt.txt
635 B
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24. Integration of AWS Machine Learning With Your Application/7. Lab Invoking Prediction From Python Client.mp4
10.5 MB
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24. Integration of AWS Machine Learning With Your Application/8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4
37.41 MB
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24. Integration of AWS Machine Learning With Your Application/9. Lab Invoking Prediction From Web Page AngularJS Client.mp4
20.39 MB
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25. Homework - Additional Problems/1. Mushroom Classification.html
972 B
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25. Homework - Additional Problems/1.1 MushroomData_Class.csv.csv
373.18 KB
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26. Conclusion/1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html
8.46 KB
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26. Conclusion/2. Conclusion.mp4
1.27 MB
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3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4
70.19 MB
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3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4
102.2 MB
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3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4
85.57 MB
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3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4
81.7 MB
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3. 2019 Machine Learning Concepts/5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4
37.8 MB
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4. 2019 SageMaker Service Overview/1. Downloadable Resources.html
272 B
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4. 2019 SageMaker Service Overview/1.1 AWS SageMaker_WM.pdf.pdf
221.26 KB
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4. 2019 SageMaker Service Overview/2. SageMaker Overview.mp4
13.81 MB
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4. 2019 SageMaker Service Overview/3. Compute Instance Families and Pricing.mp4
19.82 MB
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4. 2019 SageMaker Service Overview/4. Algorithms and Data Formats Supported For Training and Inference.mp4
9.58 MB
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5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4
72.6 MB
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5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4
127.23 MB
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5. XGBoost - Gradient Boosted Trees/11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4
45.34 MB
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5. XGBoost - Gradient Boosted Trees/12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4
27.67 MB
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5. XGBoost - Gradient Boosted Trees/13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html
903 B
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5. XGBoost - Gradient Boosted Trees/13.1 20. How to remove SageMaker endpoints and Shutdown Notebook Instance.pdf.pdf
28.49 KB
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5. XGBoost - Gradient Boosted Trees/14. Creating EndPoint From Existing Model Artifacts.html
476 B
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5. XGBoost - Gradient Boosted Trees/15. XGBoost Hyper Parameter Tuning.mp4
51.22 MB
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5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4
81.81 MB
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5. XGBoost - Gradient Boosted Trees/17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4
45.25 MB
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5. XGBoost - Gradient Boosted Trees/18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4
47.36 MB
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5. XGBoost - Gradient Boosted Trees/19. Summary - XGBoost.mp4
13.23 MB
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5. XGBoost - Gradient Boosted Trees/2. Source Code Overview.mp4
17.12 MB
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5. XGBoost - Gradient Boosted Trees/3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4
63.1 MB
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5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4
99.68 MB
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5. XGBoost - Gradient Boosted Trees/5. Demo - XGBoost Example with Quadratic Fit.mp4
34.8 MB
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5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4
97.12 MB
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5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4
96.16 MB
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5. XGBoost - Gradient Boosted Trees/8. Demo - Kaggle Bike Rental Model Version 2.mp4
41.91 MB
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5. XGBoost - Gradient Boosted Trees/9. Demo - Kaggle Bike Rental Model Version 3.mp4
35.5 MB
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6. SageMaker - Principal Component Analysis (PCA)/1. Downloadable Resources.html
273 B
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6. SageMaker - Principal Component Analysis (PCA)/1.1 AWS SageMakerPCA_WM.pdf.pdf
118.68 KB
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6. SageMaker - Principal Component Analysis (PCA)/10. Demo - PCA Projection with SageMaker.mp4
24.31 MB
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6. SageMaker - Principal Component Analysis (PCA)/11. Exercise Kaggle Bike Train and PCA.html
720 B
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6. SageMaker - Principal Component Analysis (PCA)/12. Summary.mp4
6.7 MB
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6. SageMaker - Principal Component Analysis (PCA)/2. Introduction to Principal Component Analysis (PCA).mp4
52.59 MB
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6. SageMaker - Principal Component Analysis (PCA)/3. PCA Demo Overview.mp4
5.1 MB
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6. SageMaker - Principal Component Analysis (PCA)/4. Demo - PCA with Random Dataset.mp4
26.64 MB
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6. SageMaker - Principal Component Analysis (PCA)/5. Demo - PCA with Correlated Dataset.mp4
47.2 MB
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6. SageMaker - Principal Component Analysis (PCA)/6. Cleanup Resources on SageMaker.html
903 B
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6. SageMaker - Principal Component Analysis (PCA)/7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4
32.79 MB
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6. SageMaker - Principal Component Analysis (PCA)/8. Demo - PCA Local Model with Kaggle Bike Train.mp4
30.48 MB
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6. SageMaker - Principal Component Analysis (PCA)/9. Demo - PCA training with SageMaker.mp4
38.75 MB
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7. SageMaker - Factorization Machines/1. Downloadable Resources.html
290 B
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7. SageMaker - Factorization Machines/1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf
133.81 KB
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7. SageMaker - Factorization Machines/2. Introduction to Factorization Machines.mp4
36.09 MB
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7. SageMaker - Factorization Machines/3. MovieLens Dataset.html
281 B
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7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4
90.7 MB
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7. SageMaker - Factorization Machines/5. Demo - Movie Recommender Model Training.mp4
49.05 MB
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7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4
68.99 MB
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8. SageMaker - DeepAR Time Series Forecasting/1. Downloadable Resources.html
273 B
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8. SageMaker - DeepAR Time Series Forecasting/1.1 AWS SageMakerDeepAR_WM.pdf.pdf
175.95 KB
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8. SageMaker - DeepAR Time Series Forecasting/10. Demo - DeepAR Dynamic Features Training and Prediction.mp4
26.85 MB
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8. SageMaker - DeepAR Time Series Forecasting/11. Summary.mp4
10.97 MB
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8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4
75.8 MB
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8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4
89.42 MB
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8. SageMaker - DeepAR Time Series Forecasting/4. Working with Time Series Data, Handling Missing Values.mp4
65.93 MB
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8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4
104.99 MB
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8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4
77.28 MB
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8. SageMaker - DeepAR Time Series Forecasting/7. Demo - Bike Rental Prediction.mp4
48.62 MB
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8. SageMaker - DeepAR Time Series Forecasting/8. Demo - DeepAR Categories.mp4
64.56 MB
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8. SageMaker - DeepAR Time Series Forecasting/9. Demo - DeepAR Dynamic Features Data Preparation.mp4
67.57 MB
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9. 2019 Integration Options - Model Endpoint/1. Downloadable Resources.html
145 B
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9. 2019 Integration Options - Model Endpoint/1.1 AWS SageMaker Integration.pdf.pdf
116.65 KB
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9. 2019 Integration Options - Model Endpoint/1.2 Local Machine - Housekeeping.pdf.pdf
200.92 KB
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9. 2019 Integration Options - Model Endpoint/2. Integration Overview.mp4
11.75 MB
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9. 2019 Integration Options - Model Endpoint/3. Install Python and Boto3 - Local Machine.mp4
13.65 MB
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9. 2019 Integration Options - Model Endpoint/4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html
154 B
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9. 2019 Integration Options - Model Endpoint/4.1 Local Machine - Housekeeping.pdf.pdf
200.92 KB
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9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4
76.98 MB
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9. 2019 Integration Options - Model Endpoint/6. Client to Endpoint using Boto3 SDK.mp4
38.28 MB
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9. 2019 Integration Options - Model Endpoint/7. Microservice - Lambda to Endpoint - Payload.mp4
23.68 MB
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9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4
74.18 MB
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9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4
84.07 MB
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[Tutorialsplanet.NET].url
128 B
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