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

Telecom-Customer-Churn-Prediction
35
Emerging
Customer-Churn-Prediction
28
Experimental
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 15/25
Maintenance 13/25
Adoption 0/25
Maturity 15/25
Community 0/25
Stars: 7
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About Telecom-Customer-Churn-Prediction

usmanbvp/Telecom-Customer-Churn-Prediction

The "Telecom Customer Churn Prediction " GitHub repository is a project focused on analyzing and predicting customer churn.

This project helps telecom companies predict which customers are likely to cancel their subscriptions or switch providers. By inputting historical customer data, service usage, and churn status, you get a prediction of whether a customer is at risk of leaving. This tool is ideal for customer retention managers and marketing strategists in the telecom sector.

telecom-churn-prediction customer-retention telecom-marketing customer-analytics subscription-management

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

Telecom-Customer-Churn-Prediction and Telecom-Customer-Churn-Analysis-Prediction Telecom-Customer-Churn-Prediction and Telecom-Churn-Prediction Telecom-Customer-Churn-Prediction and telecom-customer-churn-prediction Telecom-Customer-Churn-Prediction and Bank-Customer-Churn-Prediction Telecom-Customer-Churn-Prediction and Telecom-Churn-Predictor Telecom-Customer-Churn-Prediction and Customer-Churn-Prediction-and-Analysis

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