/sagemaker-studio-end-to-end

This hands-on lab is a Korean translated version of the official example code of Architect and build the full machine learning lifecycle with AWS. You can practice the SageMaker End-to-end pipeline in about 1 hour 30 minutes to 2 hours.

Primary LanguageJupyter NotebookMIT LicenseMIT

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