Churn Predictor Sample Project

This is a Turi sample for churn prediction. Explore the gallery to see other examples.

This sample code shows how to build, evaluate, and deploy a model to predict customer churn. You could use this model to find customers who are likely to stop using your product or service.

Get started

1. Before you begin, make sure you have installed GraphLab Create 1.9, a Python package for machine learning.

2. Download and extract the example code to a directory on your machine, or clone it with the following command:

   git clone http://github.com/turi-code/sample-churn-predictor
   cd sample-churn-predictor

3. While in the sample-churn-predictor directory, run the following script to download the sample project data:

python download_data.py

4. Making sure you are working in a Python environment with GraphLab Create installed, run the churn_predictor.py script to build and explore the model on your machine:

   python -i churn_predictor.py

   The -i flag causes Python to drop into an interactive interpreter after the script executes.

   Once the model has been created, a browser window should open to let you explore and interact with your model.

   Alternatively, you can also run the provided IPython Notebook:

   ipython notebook churn_predictor.ipynb

Troubleshooting

If you are having trouble, please create a Github Issue or start a discussion on the user forum.