This project is a machine learning-powered web application that predicts whether a customer is likely to churn based on their behavioral and demographic attributes. The goal is to assist businesses in identifying high-risk customers and taking proactive steps to retain them.
- Algorithms Used: Random Forest Classifier , Logistic regression
- Libraries: scikit-learn, pandas, numpy, joblib, matplotlib, seaborn
- Features: Customer demographics, tenure, charges, service usage, etc.
- Target: Predict whether a customer will churn or stay loyal
- Input customer data via a form
- Predict customer loyalty instantly
- Built with Flask and HTML
- Get suggestions based on the prediction
