mdzaheerjk/Telecom-Customer-Churn-Prediction-using-Machine-Learning
This project focuses on developing a machine learning system to predict customer churn in the telecommunications industry. It covers the entire data science lifecycle, from exploratory data analysis to model deployment, enabling proactive intervention and customer retention
This system helps telecom companies identify customers likely to cancel their service before they actually do. By analyzing customer data like usage patterns and billing history, it generates a list of at-risk customers. This allows customer retention teams, marketers, and business analysts to proactively engage with these customers and prevent churn.
Use this if you are a telecommunications business looking to reduce customer attrition by identifying at-risk subscribers early.
Not ideal if you need a solution for predicting churn in an industry other than telecommunications, as it's specifically tailored for telecom data.
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MIT
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Last pushed
Mar 10, 2026
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