Recurrent Neural Network for churn prediction

Introduction

This RNN implemented in keras presents an example of how can neural networks be used in tasks such as churn prediction.

We attempt to classify the email subscribers in those who will churn and those who won't, based on data collected from email campaigns launched through Mailchimp.

You can find the whole analysis here:

Usage

The project was implemented in Python 3.6 and keras 2.0.2

Load an appropriately formatted csv and run the code