Telecom-Customer-Churn-prediction and Customer-Churn-Prediction

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Language: Jupyter Notebook
License: MIT
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About Telecom-Customer-Churn-prediction

Pradnya1208/Telecom-Customer-Churn-prediction

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

This project helps telecom companies predict which customers are likely to switch providers so they can proactively offer retention incentives. By analyzing customer data such as services used, contract details, payment methods, and demographics, it identifies 'high-risk' clients. This allows customer retention teams to focus their efforts on those most likely to churn.

telecom customer-retention churn-prediction marketing-analytics customer-segmentation

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.

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