telco-churn-prediction

Predicting telecom customer churn by comparing multiple ML modelsز

🌟 Overview

This project demonstrates a complete machine learning workflow for customer intelligence in the telecom industry. It addresses three critical business questions:

Which customers are likely to leave? (Classification)

What drives their long-term value? (Regression)

Which natural customer segments exist? (Unsupervised Learning)

The project includes an interactive Streamlit dashboard that allows stakeholders to explore results and make data-driven decisions.

💼 Business Problem

A telecom company is experiencing customer churn and wants to:

Reduce churn rate by identifying at-risk customers

Increase customer lifetime value (CLTV) through targeted strategies

Segment customers for personalized marketing and retention campaigns