Predict customer churn with a machine learning model using XGBoost, optimized with Optuna for hyperparameter tuning. The model is deployed as a Flask API for easy integration. This project builds a Customer Churn Prediction Model using: ✅ XGBoost for high-performance classification ✅ Optuna for automatic hyperparameter optimization ✅ Flask API to deploy the model for real-world use ✅ Deployment on Render
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UsmanRaf7/Customer-Churn-Prediction-Model-with-XGBoost-Optuna
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