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Mastering Serverless Computing for Data Science

Solution: ML Model Using AWS Step Functions

Explore the process of deploying a machine learning model using AWS Step Functions within a serverless architecture. Understand how to configure S3 buckets for datasets, adjust Lambda permissions, set environment variables, and test your ML pipeline effectively.

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Solution

Here are the steps required to reproduce this solution:

  1. Create a bucket to store your train/test dataset used for training the model. This way, the Lambda function is aware of this location. The value of the environment variable
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