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Exercise: Train and Evaluate ML Model

Explore how to write scripts that train and save machine learning models using scikit-learn pipelines, upload datasets to Amazon S3, and create AWS Lambda functions to evaluate model performance on training and testing data. This lesson guides you through applying a complete data science workflow in a serverless environment.

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Now that we’ve reached the end of this chapter, its time for you to write some ML model code. We recommend following a more rigorous data science workflow this time, e.g., scikit-learn ...