Predict customer churn using Machine Learning with an interactive Streamlit web app.
This project predicts customer churn using Python, scikit-learn, and Streamlit. It includes:
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Multiple ML Models (Logistic Regression, Random Forest, XGBoost)
- Model Evaluation & Comparison
- Interactive Streamlit Web App
Built as part of a complete data science tutorial.