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Customer-Churn-Predictor

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A 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

Creat2025-06-18T22:11:29
Update2025-07-13T23:44:18
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