January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks
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
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.