Data Preparation for Machine Learning on AWS

Course content

1. 1Data for machine learning on AWSComing
2. 2Ingesting and storing training dataComing
3. 3Data formats for trainingComing
4. 4Exploring and cleaning dataComing
5. 5Feature engineering techniquesComing
6. 6SageMaker Data Wrangler and Feature StoreComing
7. 7Labeling data with SageMaker Ground TruthComing
8. 8Handling imbalance and bias in dataComing
9. 9Data integrity and validationComing
10. 10Securing training dataComing
11. 11Preparing data at scaleComing
12. 12Case study: preparing a churn data setComing

Requirements

• AWS-111 AI and Machine Learning Fundamentals on AWS
• AWS-204 Storage on AWS: S3, EBS, EFS and Backup

Recommended background. You can start any course at any time.

Description

Ingesting, storing, cleaning, transforming and labeling data for machine learning, and engineering features with SageMaker AI tools.