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Predict will a customer churn using Python. Built and train eight models. Final optimized random forest model received an AUC of 0.86.

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Predict Customer Churn - Classification Models in Python

Source of dataset

Kaggle https://www.kaggle.com/becksddf/churn-in-telecoms-dataset

Project Goal

Predict will a customer churn

Introduction

Customer churn is when an existing customer stops doing business or ends the relationships with a company. This cellular usage dataset consists of records of actual cell phone customers and features to a customer's cell services such as voice mail, international calling, cost for the service, usage information, and whether customers cancelled their services or not.

Prerequisites

Python (using version 3.7.1) Jupyter Notebook

Authors

Lee Ping Tay

Acknowledgments

Andrew Long

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Predict will a customer churn using Python. Built and train eight models. Final optimized random forest model received an AUC of 0.86.

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