README.md

In Xnonr/RMachineLearningTelcoCustomerChurn: RMachineLearningTelcoCustomerChurn

RMachineLearningTelcoCustomerChurn

A relatively simple R package designed specifically for the Telco Customer Churn dataset publically available on the website kaggle.

The code has 2 main functions: 1st - Identify the most optimal prices to charge each specific customer segment for each specific product bundle combination so as to maximize revenue. 2nd - To model customer churn, as in whether or not they are likely to maintain their subscription to the company, via machine learning algorithms.

Tools used: Decision Tree Logistic Regression K-Nearest Neighbors Naive Bayes Classifier Ensemble Modeling

Xnonr/RMachineLearningTelcoCustomerChurn documentation built on Dec. 18, 2021, 7:23 p.m.