Telecom-Customer-Churn and Customer-Churn-Prediction

Telecom-Customer-Churn

Emerging

Customer-Churn-Prediction

Experimental

Maintenance 6/25

Adoption 3/25

Maturity 13/25

Community 12/25

Maintenance 13/25

Adoption 0/25

Maturity 15/25

Community 0/25

Stars: 3

Forks: 1

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: —

Forks: —

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

No Package No Dependents

About Telecom-Customer-Churn

72Zafar/Telecom-Customer-Churn

End to End ML project

This project offers a comprehensive demonstration of how to build and deploy a machine learning system designed to predict customer churn in the telecom industry. It takes raw customer data, processes it, trains a churn prediction model, and then makes that model available through a web application. This is ideal for hiring managers, technical recruiters, and aspiring MLOps engineers looking to evaluate production-grade ML engineering skills.

MLOps engineering ML pipeline development Cloud deployment CI/CD automation Telecom analytics

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.

Related comparisons

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