In this chapter, we will see two examples of how to build very robust and accurate predictive models for predictive analytics using H2O on a bank marketing dataset. The data is related to the direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. The goal of this end-to-end project is to predict that the client will subscribe to a term deposit.

Throughout this project, the following topics will be covered in this chapter:

• Client subscription assessment
• Dataset description
• Exploratory analysis of the dataset
• Client subscription assessment using H2O
• Tuning hyperparameters