/Customer-Churn-Prediction

A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.

Primary LanguageJupyter NotebookMIT LicenseMIT

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