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Mastering Serverless Computing for Data Science

Solution: Train and Evaluate ML Model

Explore how to train and evaluate machine learning models deployed with AWS Lambda using Docker. Understand the process of scripting model training, storing data on Amazon S3, configuring Lambda permissions, and testing the deployed function for different data partitions.

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Solution

Here are the steps required to reproduce this solution:

  1. Run the train.py script to train a model and generate the data files that you’ll upload to Amazon S3 in the next step.
  2. Create a bucket to store the train/ test data used for training the
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