Telecom-Customer-Churn-Analysis-Prediction and Customer-Churn-Prediction

About Telecom-Customer-Churn-Analysis-Prediction

VibolvatanakPOCH/Telecom-Customer-Churn-Analysis-Prediction

Telecom Customer Churn Analysis & Prediction project uses Gradient Boosting for precise predictions, Power BI for churn pattern visualizations, and Streamlit for interactive insights. With robust code and meticulous data preprocessing, stakeholders access accurate predictions to optimize retention and drive profitability.

This project helps telecom businesses predict which customers are likely to stop using their services. You provide customer data, including demographics, usage, and contract details, and it outputs a churn probability for each customer and reasons why they might leave. This tool is for retention managers, marketing strategists, and business analysts in the telecom industry.

About Customer-Churn-Prediction

JavedFazlulahF/Customer-Churn-Prediction

📊 Predict customer churn in telecom using machine learning to enhance retention strategies and drive better business outcomes.