A Machine Learning Approach for Customer Churn Prediction in Telecom sector

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IEEE Standard
Screenshot of A Machine Learning Approach for Customer Churn Prediction in Telecom sector

Technologies Used

Python
Logistic Regression
K Neighbours Classifier
Machine Learning
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Project Overview & Abstract

A Customer Churn Prediction System that leverages data preprocessing, model comparison, and an interactive GUI to deliver customer-specific churn probabilities, enabling telecoms to reduce attrition through targeted retention strategies.