Telecom Churn Prediction

Notebook containing end-to-end analysis and modeling for churn prediction using dimensionality reduction, feature engineering, and classification techniques.

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This project aims to predict customer churn for a telecom company by analyzing customer behavior over a four-month period. The goal is to identify high-value customers who are at risk of churning and recommend actionable strategies to improve customer retention.