🧠 Customer Churn and Value Prediction with Machine Learning...

🧠 Customer Churn and Value Prediction with Machine Learning

I built a Streamlit app that predicts customer churn and estimates customer value using telecom data. The app uses a Random Forest model trained on features like call failures, complaints, SMS frequency, and subscription length to help businesses spot at-risk and high-value customers.

Developed with Scikit-learn, Pandas, Matplotlib, and Streamlit, it turns customer data into actionable insights for better retention and decision-making.

Try the live app or explore the GitHub repo.

#DataScience #MachineLearning #Streamlit #Python #CustomerChurn #AI #CustomerRetention #RandomForest