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Machine Learning with SageMaker
大小 2.07 GB
文件数 206
Info Hash: BAFAA9C95F1720567E6EB2125DC1255201DC25BC
收录时间 2025-12-24 16:00:03
更新时间 2025-12-24 16:00:03
文件列表 (206)
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 7 - Automating ML Workflows with SageMaker Pipelines/003. 7.2 SageMaker Pipeline Demonstration.mp4
130.22 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
3.04 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
3.05 MB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.en.srt
3.23 KB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/002. 1.1 Course Overview.mp4
10.59 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
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.mp4
36.33 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
14.06 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
36.57 MB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.en.srt
27.59 KB
Module 1 - Data Preparation for Machine Learning/Lesson 1 - Data Ingestion and Storage Basics/005. 1.4 Data Ingestion Demonstration.mp4
83.38 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
19.23 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
51.44 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
2.71 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
33.83 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
14.37 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
19.07 KB
Module 1 - Data Preparation for Machine Learning/Lesson 2 - Data Transformation and Feature Engineering with SageMaker/003. 2.2 Data Preprocessing Demonstration.mp4
67.06 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
11.24 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
29.13 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
13.99 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
34.53 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
2.95 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
10.72 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/002. 3.1 Validating Data Quality with AWS Tools.mp4
28.29 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
23.28 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/003. 3.2 Configuring Data for SageMaker Training Jobs.mp4
87.73 MB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.en.srt
10.86 KB
Module 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/004. 3.3 Managing SageMaker Feature Store.mp4
28.06 MB
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 1 - Data Preparation for Machine Learning/Lesson 3 - Preparing Data for Modeling/005. 3.4 SageMaker Feature Store Demonstration.mp4
81.62 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
3.13 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
11.54 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
31.44 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.en.srt
31.7 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/003. 4.2 SageMaker Algorithms Demonstration.mp4
92.85 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
8.85 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
21.57 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.en.srt
28.41 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/005. 4.4 SageMaker Training Demonstration.mp4
91.44 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
10.13 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
24.79 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.en.srt
26.58 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/007. 4.6 Hyperparameter Tuning Demonstration.mp4
93.54 MB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.en.srt
11.36 KB
Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/008. 4.7 Preventing Overfitting and Underfitting.mp4
27.74 MB
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 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/009. 4.8 Model OverUnderfitting Demonstration.mp4
57.05 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
3.83 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
13.11 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/002. 5.1 Model Evaluation Metrics - Accuracy, Precision, and Recall.mp4
33.74 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
9.83 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
27.11 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
20.01 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.en.srt
8.52 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/005. 5.4 Model AB Testing Demonstration.mp4
23.67 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
7.98 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/006. 5.5 Managing Model Versions with SageMaker Model Registry.mp4
22.3 MB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.en.srt
13.91 KB
Module 2 - ML Model Development/Lesson 5 - Model Evaluation and Bias Detection/007. 5.6 Model Registry Demonstration.mp4
45.05 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
3.25 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
3.25 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
14.2 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
35.94 MB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/003. 6.2 Real-Time Inference Demonstration.en.srt
11.32 KB
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/004. 6.3 Batch Inference and Asynchronous Inference.en.srt
9.03 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/004. 6.3 Batch Inference and Asynchronous Inference.mp4
20.73 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
20.05 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/005. 6.4 Batch and Asynchronous Inference Demonstration.mp4
55.75 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
10.42 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
15.32 KB
Module 3 - Deployment and Orchestration of ML Workflows/Lesson 6 - Deploying Models with SageMaker/007. 6.6 SageMaker Edge Deployment Demonstration.mp4
55.32 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
2.94 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
9.46 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
20.6 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
44.04 KB
Introduction/001. Machine Learning with SageMaker - Introduction.en.srt
1.84 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
9.49 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
27.99 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
41.55 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
11.76 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
9.94 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
27.83 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
37.59 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
13.05 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
3.14 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
3.11 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 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
21.82 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
8.33 KB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/003. 8.2 SageMaker Model Monitor Demonstration.mp4
41.07 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
10.8 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
28.75 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
31.48 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
9.94 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
11.77 KB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 8 - Monitoring and Optimizing ML Solutions/006. 8.5 SageMaker Auto-scaling Demonstration.mp4
45.98 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
2.94 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
12.79 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
35.7 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
6.58 KB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/003. 9.2 IAM Demonstration.mp4
22.19 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
10.79 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
34.51 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
17.52 KB
Module 4 - ML Solution Monitoring, Maintenance, and Security/Lesson 9 - Securing ML Models and Data in SageMaker/005. 9.4 VPC Demonstration.mp4
55.17 MB
Summary/001. Machine Learning with SageMaker - Summary.en.srt
801 B
Summary/001. Machine Learning with SageMaker - Summary.mp4
3.63 MB
z.AWSMLAssoc/gp.sh
421 B
z.AWSMLAssoc/QA.md
7.58 KB
z.AWSMLAssoc/Datasets/sample_home_sales_dataset.csv
3.95 MB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset.csv
240.56 KB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.csv
240.52 KB
z.AWSMLAssoc/Datasets/sample_loan_approval_dataset_dirty.parquet
80.29 KB
z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.csv
239.77 KB
z.AWSMLAssoc/Datasets/sample_realistic_loan_approval_dataset.parquet
80.49 KB
z.AWSMLAssoc/Datasets/sample_sales_dataset.csv
216.38 KB
z.AWSMLAssoc/Datasets/sample_sales_dataset_dirty.csv
216.35 KB
z.AWSMLAssoc/Datasets/async-input/async-input.csv
55.57 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/add_data_to_training_dataset.py
1.5 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/all_false.csv
65.38 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/sync.sh
50 B
z.AWSMLAssoc/Datasets/pipeline-dataset/train.csv
65.38 KB
z.AWSMLAssoc/Datasets/pipeline-dataset/validate.csv
2.66 KB
z.AWSMLAssoc/Datasets/pipeline-dataset-dirty/dirty.csv
65.37 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
1.48 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
2.08 KB
z.AWSMLAssoc/Datasets/scripts/gen_sales_dataset.py
944 B
z.AWSMLAssoc/Datasets/tuning-job-dataset/train.csv
62.78 KB
z.AWSMLAssoc/Datasets/tuning-job-dataset/validate.csv
2.66 KB
z.AWSMLAssoc/Labs/.DS_Store
10 KB
z.AWSMLAssoc/Labs/README.md
64 B
z.AWSMLAssoc/Labs/1.3/Lab_01.3.md
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z.AWSMLAssoc/Labs/2.1/Lab_02.1.md
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z.AWSMLAssoc/Labs/3.2/Lab_03.2.md
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z.AWSMLAssoc/Labs/3.2/realistic_loans_predictor.ipynb
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z.AWSMLAssoc/Labs/3.3/1_create_feature_group.sh
374 B
z.AWSMLAssoc/Labs/3.3/2_ingest_data_to_feature_group.py
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z.AWSMLAssoc/Labs/3.3/3_retrieve_record_from_feature_group.sh
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z.AWSMLAssoc/Labs/3.3/4_delete_feature_group.sh
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z.AWSMLAssoc/Labs/3.3/feature_group_create_cli.json
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z.AWSMLAssoc/Labs/3.3/Lab_03.3.md
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z.AWSMLAssoc/Labs/3.3/sample_home_sales_dataset_300.csv
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z.AWSMLAssoc/Labs/4.1/data_flow.png
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z.AWSMLAssoc/Labs/4.1/data_viz.png
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z.AWSMLAssoc/Labs/4.1/income_impact.png
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z.AWSMLAssoc/Labs/4.1/Lab_04.1.md
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z.AWSMLAssoc/Labs/4.2/.DS_Store
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z.AWSMLAssoc/Labs/4.2/data_processing.png
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z.AWSMLAssoc/Labs/4.2/Lab_04.2.md
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z.AWSMLAssoc/Labs/4.2/train_deploy_predict.ipynb
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z.AWSMLAssoc/Labs/4.3/Lab_04.3.ipynb
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z.AWSMLAssoc/Labs/4.3/Lab_04.3.md
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z.AWSMLAssoc/Labs/4.3/Lab_04.3_2.ipynb
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z.AWSMLAssoc/Labs/4.4/cleanup_sagemaker.ipynb
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z.AWSMLAssoc/Labs/4.4/Lab_04.4.ipynb
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z.AWSMLAssoc/Labs/4.4/Lab_04.4.md
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z.AWSMLAssoc/Labs/5.3/Lab_05.3.ipynb
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z.AWSMLAssoc/Labs/5.3/Lab_05.3.md
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z.AWSMLAssoc/Labs/5.4/Lab_05.4.md
4.08 KB
z.AWSMLAssoc/Labs/6.1/inference.ipynb
1.92 KB
z.AWSMLAssoc/Labs/6.1/Lab_06.1.md
4.26 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2.md
4.77 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2_asynch.ipynb
5.82 KB
z.AWSMLAssoc/Labs/6.2/Lab_06.2_batch.ipynb
6.44 KB
z.AWSMLAssoc/Labs/6.2/random_data_47c68c52234d45018b6fec5ce794e28d.csv
111.2 KB
z.AWSMLAssoc/Labs/6.3/Lab_06.3.ipynb
2.89 KB
z.AWSMLAssoc/Labs/6.3/Lab_06.3.md
6.31 KB
z.AWSMLAssoc/Labs/7.1/Lab_07.1.ipynb
8.47 KB
z.AWSMLAssoc/Labs/7.1/Lab_07.1.md
6.63 KB
z.AWSMLAssoc/Labs/7.2/Lab_07.2.ipynb
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z.AWSMLAssoc/Labs/7.2/Lab_07.2.md
6.16 KB
z.AWSMLAssoc/Labs/7.2/preprocessing.py
825 B
z.AWSMLAssoc/Labs/7.3/Lab_07.3.md
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z.AWSMLAssoc/Labs/8.1/Lab_08.1.md
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z.AWSMLAssoc/Labs/8.1/sm_xgboost_ca_housing_monitor_alert.ipynb
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z.AWSMLAssoc/Labs/8.1/datasets/california_housing.csv
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z.AWSMLAssoc/Labs/8.3/Lab_08.3.ipynb
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z.AWSMLAssoc/Labs/8.3/Lab_08.3.md
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z.AWSMLAssoc/Labs/8.3/predict.py
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z.AWSMLAssoc/Labs/9.1/Lab_09.1.md
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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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