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

Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 13/25
Stars: 7
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
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 Telecom-Customer-Churn-Analysis-Prediction

VibolvatanakPOCH/Telecom-Customer-Churn-Analysis-Prediction

Telecom Customer Churn Analysis & Prediction project uses Gradient Boosting for precise predictions, Power BI for churn pattern visualizations, and Streamlit for interactive insights. With robust code and meticulous data preprocessing, stakeholders access accurate predictions to optimize retention and drive profitability.

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