Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques
This project develops a machine learning-based customer churn prediction system for the telecom industry. It analyzes customer demographics, service usage, billing history, and behavioral patterns to identify users likely to discontinue services. The system helps telecom providers improve customer retention through early prediction, personalized offers, and data-driven decision-making, ultimately reducing churn and increasing customer satisfaction.
Project ID: 0707
Sub domains: Machine Learning
Domain: Python
Project Year: 2026
Keywords: Customer Churn Prediction Machine Learning Telecom Analytics Customer Retention Predictive Analytics Data Mining
Project Cost : ₹6500
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