Amazon SageMaker Studio — Expert Playground

AWS cloud IDE for ML: notebooks, experiment tracking, model deployment

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Amazon SageMaker Studio deep diveRun locally
Install
Via AWS Console → SageMaker
Python CodeRun locally

Expert-level understanding of Amazon SageMaker Studio helps leverage it to its full potential.

Challenge

Try modifying the code above to explore different behaviors. Can you extend the example to handle a new use case?

View all Expert examples for Amazon SageMaker Studio