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An end-to-end machine learning pipeline that predicts customer churn using the Telco dataset. Built with a clean Cookiecutter project structure. It includes EDA, preprocessing, and a Random Forest model hitting ~88% test accuracy. The app is fully containerized with Docker, CI/CD-ready using GitHub Actions + Render for automatic deployment.
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47
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