A small example of using H2O's AutoML to load data, preprocess it.
Then use the AutoML leaderboard and ensemble (model learning)exploration ; on the dataframe to predict the important variables for a particular decision and model employment.
About the data:
The data is related with direct marketing campaigns of a Portuguese banking institution.
The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required,
in order to access if the product (bank term deposit) would be (or not) subscribed.
in Python & R!