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
