Machine Learning with SageMaker

Creation Time	Aug. 14, 2025, 5:46 p.m.
Last Access Time	Aug. 23, 2025, 9:42 a.m.
File Size	2.1 GB
Keywords	Machine SageMaker with Learning
Total Requests	21
Total Files	206
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Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/003. 7.2 SageMaker Pipeline Demonstration.mp4 130.2 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.mp4 93.5 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.mp4 92.8 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.mp4 91.4 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/003. 3.2 Configuring Data for SageMaker Training Jobs.mp4 87.7 MB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.mp4 83.4 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/005. 3.4 SageMaker Feature Store Demonstration.mp4 81.6 MB
Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/003. 2.2 Data Preprocessing Demonstration.mp4 67.1 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/009. 4.8 Model OverUnderfitting Demonstration.mp4 57.1 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/005. 6.4 Batch and Asynchronous Inference Demonstration.mp4 55.8 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/007. 6.6 SageMaker Edge Deployment Demonstration.mp4 55.3 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/005. 9.4 VPC Demonstration.mp4 55.2 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.mp4 51.4 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/006. 8.5 SageMaker Auto-scaling Demonstration.mp4 46.0 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.mp4 45.1 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 41.6 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/003. 8.2 SageMaker Model Monitor Demonstration.mp4 41.1 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 37.6 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.mp4 36.6 MB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/003. 1.2 Overview of Common Data Formats.mp4 36.3 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/003. 6.2 Real-Time Inference Demonstration.mp4 36.3 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/002. 6.1 Real-Time Inference with SageMaker Endpoints.mp4 35.9 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.mp4 35.7 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.mp4 34.5 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.mp4 34.5 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 33.8 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/002. 5.1 Model Evaluation Metrics - Accuracy, Precision, and Recall.mp4 33.7 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 31.5 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.mp4 31.4 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/006. 6.5 Using SageMaker Neo for Edge Deployment.mp4 31.0 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.mp4 29.1 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.mp4 28.8 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/002. 3.1 Validating Data Quality with AWS Tools.mp4 28.3 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.mp4 28.1 MB
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 28.0 MB
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 27.8 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.mp4 27.7 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/003. 5.2 Using SageMaker Clarify for Bias Detection and Interpretability.mp4 27.1 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/006. 4.5 Hyperparameter Tuning with SageMaker Automatic Model Tuning.mp4 24.8 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.mp4 23.7 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/006. 5.5 Managing Model Versions with SageMaker Model Registry.mp4 22.3 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/003. 9.2 IAM Demonstration.mp4 22.2 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.mp4 21.8 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/004. 4.3 Setting Up and Running SageMaker Training Jobs.mp4 21.6 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/004. 6.3 Batch Inference and Asynchronous Inference.mp4 20.7 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.mp4 20.6 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/004. 5.3 Comparing Model Performance Using AB Testing.mp4 20.0 MB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.mp4 10.6 MB
Introduction/001. Machine Learning with SageMaker - Introduction.mp4 8.5 MB
z.AWSMLAssoc/Labs/8.1/datasets/california_housing.csv 4.3 MB
z.AWSMLAssoc/Datasets/sample_home_sales_dataset.csv 3.9 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/001. Learning objectives.mp4 3.8 MB
Summary/001. Machine Learning with SageMaker - Summary.mp4 3.6 MB
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.mp4 3.2 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/001. Module Introduction.mp4 3.1 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/001. Learning objectives.mp4 3.1 MB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/001. Learning objectives.mp4 3.1 MB
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/001. Module Introduction.mp4 3.0 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/001. Learning objectives.mp4 3.0 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/001. Learning objectives.mp4 2.9 MB
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 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/001. Learning objectives.mp4 2.7 MB
Module 2 - ML Model Development/001. Module Introduction.mp4 2.7 MB
z.AWSMLAssoc/Labs/8.1/sm_xgboost_ca_housing_monitor_alert.ipynb 1.3 MB
z.AWSMLAssoc/Labs/4.1/income_impact.png 463.8 KB
z.AWSMLAssoc/Labs/4.1/data_flow.png 453.8 KB
z.AWSMLAssoc/Labs/4.1/data_viz.png 380.2 KB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset.csv 240.6 KB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.csv 240.5 KB
z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.csv 239.8 KB
z.AWSMLAssoc/Datasets/sample_sales_dataset.csv 216.4 KB
z.AWSMLAssoc/Datasets/sample_sales_dataset_dirty.csv 216.3 KB
z.AWSMLAssoc/Labs/4.2/data_processing.png 150.3 KB
z.AWSMLAssoc/Labs/6.2/random_data_47c68c52234d45018b6fec5ce794e28d.csv 111.2 KB
z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.parquet 80.5 KB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.parquet 80.3 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/all_false.csv 65.4 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/train.csv 65.4 KB
z.AWSMLAssoc/Datasets/pipeline-dataset-dirty/dirty.csv 65.4 KB
z.AWSMLAssoc/Datasets/tuning-job-dataset/train.csv 62.8 KB
z.AWSMLAssoc/Datasets/async-input/async-input.csv 55.6 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/003. 7.2 SageMaker Pipeline Demonstration.en.srt 44.0 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.en.srt 31.7 KB
z.AWSMLAssoc/Labs/4.4/Lab_04.4.ipynb 31.4 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.en.srt 28.4 KB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.en.srt 27.6 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.en.srt 26.6 KB
z.AWSMLAssoc/Labs/3.3/sample_home_sales_dataset_300.csv 24.2 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/003. 3.2 Configuring Data for SageMaker Training Jobs.en.srt 23.3 KB
z.AWSMLAssoc/Labs/4.2/train_deploy_predict.ipynb 22.9 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/005. 3.4 SageMaker Feature Store Demonstration.en.srt 20.6 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/005. 6.4 Batch and Asynchronous Inference Demonstration.en.srt 20.1 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.en.srt 19.2 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 19.1 KB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/005. 9.4 VPC Demonstration.en.srt 17.5 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/009. 4.8 Model OverUnderfitting Demonstration.en.srt 17.4 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/007. 6.6 SageMaker Edge Deployment Demonstration.en.srt 15.3 KB
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 14.4 KB
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 14.2 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.en.srt 14.1 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.en.srt 14.0 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.en.srt 13.9 KB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/003. 1.2 Overview of Common Data Formats.en.srt 13.9 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/002. 5.1 Model Evaluation Metrics - Accuracy, Precision, and Recall.en.srt 13.1 KB
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 13.0 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.en.srt 12.8 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 11.8 KB
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 11.8 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.en.srt 11.5 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.en.srt 11.4 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/003. 6.2 Real-Time Inference Demonstration.en.srt 11.3 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.en.srt 11.2 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.en.srt 10.9 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.en.srt 10.8 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.en.srt 10.8 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/002. 3.1 Validating Data Quality with AWS Tools.en.srt 10.7 KB
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 10.4 KB
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 10.1 KB
z.AWSMLAssoc/Labs/.DS_Store 10.0 KB
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 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 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 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/002. 7.1 Building and Automating ML Pipelines in SageMaker.en.srt 9.5 KB
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 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 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.en.srt 8.5 KB
z.AWSMLAssoc/Labs/7.1/Lab_07.1.ipynb 8.5 KB
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 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 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 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
z.AWSMLAssoc/QA.md 7.6 KB
z.AWSMLAssoc/Labs/7.1/Lab_07.1.md 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.en.srt 6.6 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2_batch.ipynb 6.4 KB
z.AWSMLAssoc/Labs/6.3/Lab_06.3.md 6.3 KB
z.AWSMLAssoc/Labs/4.3/Lab_04.3.ipynb 6.2 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/4.2/.DS_Store 6.0 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2_asynch.ipynb 5.8 KB
z.AWSMLAssoc/Labs/8.3/Lab_08.3.md 5.6 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/8.1/Lab_08.1.md 5.5 KB
z.AWSMLAssoc/Labs/8.3/Lab_08.3.ipynb 5.3 KB
z.AWSMLAssoc/Labs/9.1/Lab_09.1.md 5.2 KB
z.AWSMLAssoc/Labs/10.1/Lab_10.1.md 5.2 KB
z.AWSMLAssoc/Labs/4.3/Lab_04.3.md 5.0 KB
z.AWSMLAssoc/Labs/9.2/Lab_09.2.md 5.0 KB
z.AWSMLAssoc/Labs/4.3/Lab_04.3_2.ipynb 4.9 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2.md 4.8 KB
z.AWSMLAssoc/Labs/4.1/Lab_04.1.md 4.6 KB
z.AWSMLAssoc/Labs/4.2/Lab_04.2.md 4.6 KB
z.AWSMLAssoc/Labs/5.3/Lab_05.3.md 4.5 KB
z.AWSMLAssoc/Labs/3.2/realistic_loans_predictor.ipynb 4.4 KB
z.AWSMLAssoc/Labs/6.1/Lab_06.1.md 4.3 KB
z.AWSMLAssoc/Labs/5.4/Lab_05.4.md 4.1 KB
z.AWSMLAssoc/Labs/2.1/Lab_02.1.md 3.8 KB
z.AWSMLAssoc/Labs/7.3/Lab_07.3.md 3.6 KB
z.AWSMLAssoc/Labs/4.4/cleanup_sagemaker.ipynb 3.3 KB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.en.srt 3.2 KB
z.AWSMLAssoc/Labs/1.3/Lab_01.3.md 3.2 KB
z.AWSMLAssoc/Labs/6.3/Lab_06.3.ipynb 2.9 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/validate.csv 2.7 KB
z.AWSMLAssoc/Datasets/tuning-job-dataset/validate.csv 2.7 KB
z.AWSMLAssoc/Labs/3.3/Lab_03.3.md 2.6 KB
z.AWSMLAssoc/Labs/3.2/Lab_03.2.md 2.3 KB
z.AWSMLAssoc/Labs/3.3/2_ingest_data_to_feature_group.py 2.1 KB
z.AWSMLAssoc/Datasets/scripts/gen_realistic_loan_approval_dataset.py 2.1 KB
z.AWSMLAssoc/Labs/6.1/inference.ipynb 1.9 KB
Introduction/001. Machine Learning with SageMaker - Introduction.en.srt 1.8 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/add_data_to_training_dataset.py 1.5 KB
z.AWSMLAssoc/Datasets/scripts/gen_home_sales_dataset.py 1.5 KB
z.AWSMLAssoc/Datasets/scripts/csv_to_parquet.py 1011 bytes
z.AWSMLAssoc/Labs/3.3/feature_group_create_cli.json 1009 bytes
z.AWSMLAssoc/Datasets/scripts/gen_sales_dataset.py 944 bytes
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/001. Learning objectives.en.srt 929 bytes
z.AWSMLAssoc/Datasets/scripts/gen_loan_approval_dataset.py 918 bytes
z.AWSMLAssoc/Datasets/scripts/gen_large_datset.py 885 bytes
z.AWSMLAssoc/Labs/7.2/preprocessing.py 825 bytes
Module 3 - Deployment and Orchestration of ML Workflows/001. Module Introduction.en.srt 805 bytes
Summary/001. Machine Learning with SageMaker - Summary.en.srt 801 bytes
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/001. Learning objectives.en.srt 781 bytes
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/001. Learning objectives.en.srt 770 bytes
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/001. Learning objectives.en.srt 749 bytes
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/001. Learning objectives.en.srt 745 bytes
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/001. Learning objectives.en.srt 717 bytes
Module 4 - ML Solution Monitoring, Maintenance, and Security/001. Module Introduction.en.srt 717 bytes
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/001. Learning objectives.en.srt 673 bytes
Module 1 - Data Preparation for Machine Learning/001. Module Introduction.en.srt 668 bytes
Module 2 - ML Model Development/001. Module Introduction.en.srt 662 bytes
z.AWSMLAssoc/Labs/8.3/predict.py 653 bytes
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/001. Learning objectives.en.srt 644 bytes
Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/001. Learning objectives.en.srt 636 bytes
z.AWSMLAssoc/Datasets/scripts/gen_async_input.py 442 bytes
z.AWSMLAssoc/gp.sh 421 bytes
z.AWSMLAssoc/Snippets/data_wrangler_custom_transform.py 421 bytes
z.AWSMLAssoc/Labs/3.3/1_create_feature_group.sh 374 bytes
z.AWSMLAssoc/Labs/3.3/3_retrieve_record_from_feature_group.sh 164 bytes
z.AWSMLAssoc/Labs/3.3/4_delete_feature_group.sh 153 bytes
z.AWSMLAssoc/Labs/README.md 64 bytes
z.AWSMLAssoc/Datasets/pipeline-dataset/sync.sh 50 bytes

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