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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.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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.
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