Telco Customer Churn Prediction

Telco Customer Churn Prediction

This project aims to predict customer churn for a telecommunications company. Using historical customer data such as services used, account information, and demographic data, we train machine learning models to identify customers who are likely to stop using the company's services.

Features

Churn Prediction: Predict whether a customer will churn based on various factors.

Model Training: Train different machine learning models and compare their performance.

Data Visualization: Visualize key customer metrics and churn probabilities.

Interactive Dashboard: Utilize a Streamlit-based web app for real-time predictions on new customer data.