Customer Churn Prediction

Built a Machine Learning solution to predict customer churn using customer behavior and usage data. The project included data preprocessing, feature engineering, SMOTE for class imbalance, XGBoost modeling, hyperparameter tuning, and comprehensive model evaluation.