Churn Prediction Webinar Chat Questions

Discussion created by maprcommunity Employee on Jun 15, 2017
Latest reply on Jun 19, 2017 by aalvarez

Below are the questions posted on the chat on June 15th Webinar "Live Machine Learning Tutorial".

Haven't seen it yet? Here it is:



Churn prediction is big business. It minimizes customer defection by predicting which customers are likely to cancel a service. Though originally used within the telecommunications industry, it has become common practice for banks, ISPs, insurance firms, and other verticals.

The prediction process is data-driven and often uses advanced machine learning techniques. In this webinar, we'll look at customer data, do some preliminary analysis, and generate churn prediction models – all with Spark machine learning (ML) and a Zeppelin notebook.

Spark’s ML library goal is to make machine learning scalable and easy. Zeppelin with Spark provides a web-based notebook that enables interactive machine learning and visualization.

In this tutorial, we'll do the following:

  • Review classification and decision trees
  • Use Spark DataFrames with Spark ML pipelines
  • Predict customer churn with Apache Spark ML decision trees
  • Use Zeppelin to run Spark commands and visualize the results



Carol McDonald




Apache Zeppelin