Customer Churn Prediction
PythonPandasScikit-learn
About this Project
Our Customer Churn Prediction project leverages advanced machine learning techniques to help businesses identify at-risk customers before they leave. By analyzing historical usage patterns, demographic data, and engagement metrics, the model provides high-accuracy risk scores, enabling proactive retention strategies.
Our Customer Churn Prediction project leverages advanced machine learning techniques to help businesses identify at-risk customers before they leave. By analyzing historical usage patterns, demographic data, and engagement metrics, the model provides high-accuracy risk scores, enabling proactive retention strategies.
Key Features
- Advanced Feature Engineering for Predictive Modeling
- Multiple ML Algorithms (Random Forest, XGBoost, etc.) Comparison
- Detailed Model Interpretation using SHAP Values
- Automated Data Preprocessing & Cleaning Pipeline
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