My last post about telco churn prediction with R+H2O attracted unexpectedly high response. It seems that R+H2O combo has currently a very good momentum :). Therefore Wit Jakuczun decided to publish a case study that he uses in his R boot camps that is based on the same technology stack.
You can find the shortened version of the case study material along with the source codes and data sets on GitHub.
I think it is nice not only because it is another example how to use H2O in R, but it is also a basic introduction to how to combine segmentation and prediction modeling for marketing campaign targeting.