This collection of experiments demonstrates the Retail Customer Churn Template on how to build and deploy a retail churn prediction model.
Predicting customer churn is an important problem for banking, telecommunications, retail and many others customer related industries. As part of the Azure Machine Learning offering, Microsoft is providing this template to help retail companies predict customer churns. This template provides pre-configured machine learning modules along with custom Python scripts in the **Execute Python Script** Module for solving the customer churn prediction problem for the Retail Stores. This template focuses on binary churn prediction, i.e. classifying the users as churners or non-churners. The overall template is divided into 4 major experiments with each containing one of the following steps: !(https://az712634.vo.msecnd.net/samplesimg/v1/T5/RetailChurn_Workflow.PNG)