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Telco Customer Churn Data Analysis by MINH TRAN LE is a document available to read on EtoBox.

What is Telco Customer Churn Data Analysis about?

This document describes a project analyzing customer churn data from a telecommunications company using machine learning methods. It introduces the problem of high customer churn rates and describes collecting and preprocessing the Telco customer dataset. Key factors affecting churn are identified through data visualization. Three machine learning models - logistic regression, decision tree, and random forest classification - are trained on the data to predict customer churn. The random forest model is foun

Author

MINH TRAN LE

Language

EN