Machine Learning with SageMaker

File Name

Size

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/003. 7.2 SageMaker Pipeline Demonstration.mp4

130 MB

Introduction/001. Machine Learning with SageMaker - Introduction.mp4

8.5 MB

Module 1 - Data Preparation for Machine Learning/001. Module Introduction.en.srt

668 B

Module 1 - Data Preparation for Machine Learning/001. Module Introduction.mp4

3.0 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/001. Learning objectives.en.srt

770 B

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/001. Learning objectives.mp4

3.0 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.en.srt

3.2 kB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.mp4

11 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/003. 1.2 Overview of Common Data Formats.en.srt

14 kB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/003. 1.2 Overview of Common Data Formats.mp4

36 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/004. 1.3 Ingesting Data with Amazon S3 and SageMaker Data Wrangler.en.srt

14 kB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/004. 1.3 Ingesting Data with Amazon S3 and SageMaker Data Wrangler.mp4

37 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.en.srt

28 kB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.mp4

83 MB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/006. 1.5 Data Storage Optimization and Transfer in AWS.en.srt

19 kB

Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/006. 1.5 Data Storage Optimization and Transfer in AWS.mp4

51 MB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/001. Learning objectives.en.srt

636 B

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/001. Learning objectives.mp4

2.7 MB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/002. 2.1 Data Cleaning and Preprocessing with SageMaker Dat.mp4

34 MB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/002. 2.1 Data Cleaning and Preprocessing with SageMaker Dat.srt

14 kB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/003. 2.2 Data Preprocessing Demonstration.en.srt

19 kB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/003. 2.2 Data Preprocessing Demonstration.mp4

67 MB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/004. 2.3 Feature Scaling and Encoding Techniques.en.srt

11 kB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/004. 2.3 Feature Scaling and Encoding Techniques.mp4

29 MB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/005. 2.4 Handling Missing Values and Outliers.en.srt

14 kB

Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/005. 2.4 Handling Missing Values and Outliers.mp4

34 MB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/001. Learning objectives.en.srt

673 B

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/001. Learning objectives.mp4

3.0 MB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/002. 3.1 Validating Data Quality with AWS Tools.en.srt

11 kB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/002. 3.1 Validating Data Quality with AWS Tools.mp4

28 MB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/003. 3.2 Configuring Data for SageMaker Training Jobs.en.srt

23 kB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/003. 3.2 Configuring Data for SageMaker Training Jobs.mp4

88 MB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.en.srt

11 kB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.mp4

28 MB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/005. 3.4 SageMaker Feature Store Demonstration.en.srt

21 kB

Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/005. 3.4 SageMaker Feature Store Demonstration.mp4

82 MB

Module 2 - ML Model Development/001. Module Introduction.en.srt

662 B

Module 2 - ML Model Development/001. Module Introduction.mp4

2.7 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/001. Learning objectives.en.srt

745 B

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/001. Learning objectives.mp4

3.1 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/002. 4.1 Overview of SageMaker's Built-in Algorithms and JumpStart Models.en.srt

12 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/002. 4.1 Overview of SageMaker's Built-in Algorithms and JumpStart Models.mp4

31 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.en.srt

32 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.mp4

93 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/004. 4.3 Setting Up and Running SageMaker Training Jobs.en.srt

8.9 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/004. 4.3 Setting Up and Running SageMaker Training Jobs.mp4

22 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.en.srt

28 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.mp4

91 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/006. 4.5 Hyperparameter Tuning with SageMaker Automatic Model Tuning.en.srt

10 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/006. 4.5 Hyperparameter Tuning with SageMaker Automatic Model Tuning.mp4

25 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.en.srt

27 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.mp4

94 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.en.srt

11 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.mp4

28 MB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/009. 4.8 Model OverUnderfitting Demonstration.en.srt

17 kB

Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/009. 4.8 Model OverUnderfitting Demonstration.mp4

57 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/001. Learning objectives.en.srt

929 B

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/001. Learning objectives.mp4

3.8 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/002. 5.1 Model Evaluation Metrics - Accuracy, Precision, and Recall.en.srt

13 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/002. 5.1 Model Evaluation Metrics - Accuracy, Precision, and Recall.mp4

34 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/003. 5.2 Using SageMaker Clarify for Bias Detection and Interpretability.en.srt

9.8 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/003. 5.2 Using SageMaker Clarify for Bias Detection and Interpretability.mp4

27 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/004. 5.3 Comparing Model Performance Using AB Testing.en.srt

8.2 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/004. 5.3 Comparing Model Performance Using AB Testing.mp4

20 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.en.srt

8.5 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.mp4

24 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/006. 5.5 Managing Model Versions with SageMaker Model Registry.en.srt

8.0 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/006. 5.5 Managing Model Versions with SageMaker Model Registry.mp4

22 MB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.en.srt

14 kB

Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.mp4

45 MB

Module 3 - Deployment and Orchestration of ML Workflows/001. Module Introduction.en.srt

805 B

Module 3 - Deployment and Orchestration of ML Workflows/001. Module Introduction.mp4

3.2 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/001. Learning objectives.en.srt

781 B

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/001. Learning objectives.mp4

3.2 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/002. 6.1 Real-Time Inference with SageMaker Endpoints.en.srt

14 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/002. 6.1 Real-Time Inference with SageMaker Endpoints.mp4

36 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/003. 6.2 Real-Time Inference Demonstration.en.srt

11 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/003. 6.2 Real-Time Inference Demonstration.mp4

36 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/004. 6.3 Batch Inference and Asynchronous Inference.en.srt

9.0 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/004. 6.3 Batch Inference and Asynchronous Inference.mp4

21 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/005. 6.4 Batch and Asynchronous Inference Demonstration.en.srt

20 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/005. 6.4 Batch and Asynchronous Inference Demonstration.mp4

56 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/006. 6.5 Using SageMaker Neo for Edge Deployment.en.srt

10 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/006. 6.5 Using SageMaker Neo for Edge Deployment.mp4

31 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/007. 6.6 SageMaker Edge Deployment Demonstration.en.srt

15 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/007. 6.6 SageMaker Edge Deployment Demonstration.mp4

55 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/001. Learning objectives.en.srt

717 B

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/001. Learning objectives.mp4

2.9 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/002. 7.1 Building and Automating ML Pipelines in SageMaker.en.srt

9.5 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/002. 7.1 Building and Automating ML Pipelines in SageMaker.mp4

21 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/003. 7.2 SageMaker Pipeline Demonstration.en.srt

44 kB

Introduction/001. Machine Learning with SageMaker - Introduction.en.srt

1.8 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/004. 7.3 Integrating Data Processing and Training Steps.en.srt

9.5 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/004. 7.3 Integrating Data Processing and Training Steps.mp4

28 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/005. 7.4 Training and Data Processing in SageMaker Pipelines D.mp4

42 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/005. 7.4 Training and Data Processing in SageMaker Pipelines D.srt

12 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/006. 7.5 Triggering Pipelines with EventBridge for Retraining..srt

9.9 kB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/006. 7.5 Triggering Pipelines with EventBridge for Retraining.mp4

28 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/007. 7.6 Triggering SageMaker Pipelines via EventBridge Demons.mp4

38 MB

Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/007. 7.6 Triggering SageMaker Pipelines via EventBridge Demons.srt

13 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/001. Module Introduction.en.srt

717 B

Module 4 - ML Solution Monitoring, Maintenance, and Security/001. Module Introduction.mp4

3.1 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/001. Learning objectives.en.srt

749 B

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/001. Learning objectives.mp4

3.1 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/002. 8.1 Using SageMaker Model Monitor for Data Drift and Quality.e.srt

8.0 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/002. 8.1 Using SageMaker Model Monitor for Data Drift and Quality.mp4

22 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/003. 8.2 SageMaker Model Monitor Demonstration.en.srt

8.3 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/003. 8.2 SageMaker Model Monitor Demonstration.mp4

41 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/004. 8.3 Setting Up Alerts and CloudWatch Dashboards.en.srt

11 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/004. 8.3 Setting Up Alerts and CloudWatch Dashboards.mp4

29 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/005. 8.4 Cost Optimization with Auto-scaling and SageMaker Savings .mp4

32 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/005. 8.4 Cost Optimization with Auto-scaling and SageMaker Savings .srt

9.9 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/006. 8.5 SageMaker Auto-scaling Demonstration.en.srt

12 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/006. 8.5 SageMaker Auto-scaling Demonstration.mp4

46 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/001. Learning objectives.en.srt

644 B

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/001. Learning objectives.mp4

2.9 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/002. 9.1 IAM Roles and Permissions for SageMaker.en.srt

13 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/002. 9.1 IAM Roles and Permissions for SageMaker.mp4

36 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/003. 9.2 IAM Demonstration.en.srt

6.6 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/003. 9.2 IAM Demonstration.mp4

22 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/004. 9.3 VPC Configurations for Secure Endpoint Deployment.en.srt

11 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/004. 9.3 VPC Configurations for Secure Endpoint Deployment.mp4

34 MB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/005. 9.4 VPC Demonstration.en.srt

18 kB

Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/005. 9.4 VPC Demonstration.mp4

55 MB

Summary/001. Machine Learning with SageMaker - Summary.en.srt

801 B

Summary/001. Machine Learning with SageMaker - Summary.mp4

3.6 MB

z.AWSMLAssoc/gp.sh

421 B

z.AWSMLAssoc/QA.md

7.6 kB

z.AWSMLAssoc/Datasets/sample_home_sales_dataset.csv

3.9 MB

z.AWSMLAssoc/Datasets/sample_loan_approval_dataset.csv

241 kB

z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.csv

240 kB

z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.parquet

80 kB

z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.csv

240 kB

z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.parquet

80 kB

z.AWSMLAssoc/Datasets/sample_sales_dataset.csv

216 kB

z.AWSMLAssoc/Datasets/sample_sales_dataset_dirty.csv

216 kB

z.AWSMLAssoc/Datasets/async-input/async-input.csv

56 kB

z.AWSMLAssoc/Datasets/pipeline-dataset/add_data_to_training_dataset.py

1.5 kB

z.AWSMLAssoc/Datasets/pipeline-dataset/all_false.csv

65 kB

z.AWSMLAssoc/Datasets/pipeline-dataset/sync.sh

50 B

z.AWSMLAssoc/Datasets/pipeline-dataset/train.csv

65 kB

z.AWSMLAssoc/Datasets/pipeline-dataset/validate.csv

2.7 kB

z.AWSMLAssoc/Datasets/pipeline-dataset-dirty/dirty.csv

65 kB

z.AWSMLAssoc/Datasets/scripts/csv_to_parquet.py

1011 B

z.AWSMLAssoc/Datasets/scripts/gen_async_input.py

442 B

z.AWSMLAssoc/Datasets/scripts/gen_home_sales_dataset.py

1.5 kB

z.AWSMLAssoc/Datasets/scripts/gen_large_datset.py

885 B

z.AWSMLAssoc/Datasets/scripts/gen_loan_approval_dataset.py

918 B

z.AWSMLAssoc/Datasets/scripts/gen_realistic_loan_approval_dataset.py

2.1 kB

z.AWSMLAssoc/Datasets/scripts/gen_sales_dataset.py

944 B

z.AWSMLAssoc/Datasets/tuning-job-dataset/train.csv

63 kB

z.AWSMLAssoc/Datasets/tuning-job-dataset/validate.csv

2.7 kB

z.AWSMLAssoc/Labs/.DS_Store

10 kB

z.AWSMLAssoc/Labs/README.md

64 B

z.AWSMLAssoc/Labs/1.3/Lab_01.3.md

3.2 kB

z.AWSMLAssoc/Labs/2.1/Lab_02.1.md

3.8 kB

z.AWSMLAssoc/Labs/3.2/Lab_03.2.md

2.3 kB

z.AWSMLAssoc/Labs/3.2/realistic_loans_predictor.ipynb

4.4 kB

z.AWSMLAssoc/Labs/3.3/1_create_feature_group.sh

374 B

z.AWSMLAssoc/Labs/3.3/2_ingest_data_to_feature_group.py

2.1 kB

z.AWSMLAssoc/Labs/3.3/3_retrieve_record_from_feature_group.sh

164 B

z.AWSMLAssoc/Labs/3.3/4_delete_feature_group.sh

153 B

z.AWSMLAssoc/Labs/3.3/feature_group_create_cli.json

1009 B

z.AWSMLAssoc/Labs/3.3/Lab_03.3.md

2.6 kB

z.AWSMLAssoc/Labs/3.3/sample_home_sales_dataset_300.csv

24 kB

z.AWSMLAssoc/Labs/4.1/data_flow.png

454 kB

z.AWSMLAssoc/Labs/4.1/data_viz.png

380 kB

z.AWSMLAssoc/Labs/4.1/income_impact.png

464 kB

z.AWSMLAssoc/Labs/4.1/Lab_04.1.md

4.6 kB

z.AWSMLAssoc/Labs/4.2/.DS_Store

6.0 kB

z.AWSMLAssoc/Labs/4.2/data_processing.png

150 kB

z.AWSMLAssoc/Labs/4.2/Lab_04.2.md

4.6 kB

z.AWSMLAssoc/Labs/4.2/train_deploy_predict.ipynb

23 kB

z.AWSMLAssoc/Labs/4.3/Lab_04.3.ipynb

6.2 kB

z.AWSMLAssoc/Labs/4.3/Lab_04.3.md

5.0 kB

z.AWSMLAssoc/Labs/4.3/Lab_04.3_2.ipynb

4.9 kB

z.AWSMLAssoc/Labs/4.4/cleanup_sagemaker.ipynb

3.3 kB

z.AWSMLAssoc/Labs/4.4/Lab_04.4.ipynb

31 kB

z.AWSMLAssoc/Labs/4.4/Lab_04.4.md

5.6 kB

z.AWSMLAssoc/Labs/5.3/Lab_05.3.ipynb

5.6 kB

z.AWSMLAssoc/Labs/5.3/Lab_05.3.md

4.5 kB

z.AWSMLAssoc/Labs/5.4/Lab_05.4.md

4.1 kB

z.AWSMLAssoc/Labs/6.1/inference.ipynb

1.9 kB

z.AWSMLAssoc/Labs/6.1/Lab_06.1.md

4.3 kB

z.AWSMLAssoc/Labs/6.2/Lab_06.2.md

4.8 kB

z.AWSMLAssoc/Labs/6.2/Lab_06.2_asynch.ipynb

5.8 kB

z.AWSMLAssoc/Labs/6.2/Lab_06.2_batch.ipynb

6.4 kB

z.AWSMLAssoc/Labs/6.2/random_data_47c68c52234d45018b6fec5ce794e28d.csv

111 kB

z.AWSMLAssoc/Labs/6.3/Lab_06.3.ipynb

2.9 kB

z.AWSMLAssoc/Labs/6.3/Lab_06.3.md

6.3 kB

z.AWSMLAssoc/Labs/7.1/Lab_07.1.ipynb

8.5 kB

z.AWSMLAssoc/Labs/7.1/Lab_07.1.md

6.6 kB

z.AWSMLAssoc/Labs/7.2/Lab_07.2.ipynb

6.2 kB

z.AWSMLAssoc/Labs/7.2/Lab_07.2.md

6.2 kB

z.AWSMLAssoc/Labs/7.2/preprocessing.py

825 B

z.AWSMLAssoc/Labs/7.3/Lab_07.3.md

3.6 kB

z.AWSMLAssoc/Labs/8.1/Lab_08.1.md

5.5 kB

z.AWSMLAssoc/Labs/8.1/sm_xgboost_ca_housing_monitor_alert.ipynb

1.3 MB

z.AWSMLAssoc/Labs/8.1/datasets/california_housing.csv

4.3 MB

z.AWSMLAssoc/Labs/8.3/Lab_08.3.ipynb

5.3 kB

z.AWSMLAssoc/Labs/8.3/Lab_08.3.md

5.6 kB

z.AWSMLAssoc/Labs/8.3/predict.py

653 B

z.AWSMLAssoc/Labs/9.1/Lab_09.1.md

5.2 kB

z.AWSMLAssoc/Labs/9.2/Lab_09.2.md

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z.AWSMLAssoc/Labs/10.1/Lab_10.1.md

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z.AWSMLAssoc/Snippets/data_wrangler_custom_transform.py

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