ARMAND-cod-eng/ecommerce-churn-prediction-clv-analysis

Identifying R$5.3M in At-Risk Revenue: Full-Cycle E-Commerce Customer Churn Prediction & Lifetime Value Analysis using Python, SQL, Scikit-Learn, XGBoost, and RFM Segmentation

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Jupyter Notebook

License

MIT

Last pushed

Mar 20, 2026

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