Build a classification model for reducing the churn rate for a telecom company

Analysing customer-level data of a leading telecom firm, building predictive models to identify customers at high risk of churn and identifying the main indicators of churn.

This project is on predicting the customer churn rate of a telecom company.

Analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn (usage-based churn) and identify the main indicators of churn.

This repository provides a comprehensive analysis of Telecom Inndustry customer churn data using Python.

Designing strategies to pull back potential churn customers of a telecom operator by building a model which can generalize well and can explain the variance in the behavior of different churn customer. Analysis being done on large dataset which has lot of scope for cleaning and choosing the right model for prediction.

Analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

This repository uses Machine Learning models to gather insights on Customer Retention rate in Telecom Industry.

Telecom Churn analysis using various tree based classification models

Telecom-Churn-Case-Study

Build a classification model for reducing the churn rate for a telecom company

Build a classification model for reducing the churn rate for a telecom company

An analysis of customer churn in the telecommunications industry.