In this lab, you learn to use Amazon SageMaker by setting up your development environment and exploring the Studio interface. You then build and run a linear regression model using Python and scikit-learn.
Objectives
- Navigate the SageMaker domain.
- Create a SageMaker space.
- Launch SageMaker studio.
- Clone a repository.
- Run a linear regression model.
Prerequisites
- Basic understanding of machine learning concepts
- Basic Python knowledge
Outline
Task 1: Navigate SageMaker Domain
Task 2: Create a SageMaker space
Task 3: Launch JupyterLab environment
Task 4: Clone repository
Task 5: Run linear regression
