Lab 2 - Credit Card Feature Pipeline
This is the first homework of the Serverless ML course lab 2, following the lecture 2. 
more informations; https://www.serverless-ml.org

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Enter the URL of your Github Actions workflow to show us that your action is “passing” ( you can add a badge in your README.md to show it passes)

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You would like each run of the production feature pipeline (2_cc_feature_pipeline.ipynb) to create ~50MB of transaction data. What values do you set for the synthetic_data parameters to create ~50MB of feature data for a single run of the feature pipeline?
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Add a new unit test for a function of your choice in either sml/cc_features.py or sml/synthetic_data.py

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