Skip to content

This repository contains a project on customer churn analysis using machine learning techniques. The primary goal is to build a classification model to predict customer churn, helping companies to identify customers who are likely to leave and to implement strategies to retain them.

License

Notifications You must be signed in to change notification settings

DelphinKdl/Vodafone-customer-churn-ML-prediction

Repository files navigation

Customer Churn prediction Using Machine Learning

Every company aims to increase its profit or revenue margin; customer retention is a critical area where industry players focus their resources. In today's world of machine learning, most companies build classification models to perform churn analysis on their customers.

This repository contains a project on customer churn analysis using machine learning techniques. The primary goal is to build a predictive model to predict customer churn, helping companies to identify customers who are likely to leave and to implement strategies to retain them.

About

This repository contains a project on customer churn analysis using machine learning techniques. The primary goal is to build a classification model to predict customer churn, helping companies to identify customers who are likely to leave and to implement strategies to retain them.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published