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

Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 15/25
Stars: 7
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 5
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m 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 Bank-Customer-Churn-Prediction

SaloniJhalani/Bank-Customer-Churn-Prediction

This repository contains a comprehensive solution for predicting bank customer churn using machine learning techniques.

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