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Scalable churn prediction system processing 1M+ records with PySpark, XGBoost (92.6% AUC), K-Means segmentation, SHAP explainability, and FastAPI — deployed with Docker and GitHub Actions CI/CD
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chore: exclude generated dashboard HTML from repo
49fb2f7View on GitHubfeat: churn prediction — PySpark 1M rows, XGBoost 92.6% AUC, K-Means 5 segments, SHAP, FastAPI, Plotly dashboard
a121db8View on GitHub