Customer-Churn-Predictor
PublicA Streamlit web app integrating data preprocessing, XGBoost (81.8% AUC) and Logistic Regression (84.0% AUC) models for live inference and scaled inputs over a 7,000+ telecom customer churn dataset with SHAP-based interactive visualizations
Creat:2025-06-18T22:11:29
Update:2025-07-13T23:44:18
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