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Scala Machine Learning Projects

You're reading from Scala Machine Learning Projects

Product type Book

Published in Jan 2018

Publisher Packt

ISBN-13 9781788479042

Pages 470 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Table of Contents (17) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Analyzing Insurance Severity Claims

2. Analyzing and Predicting Telecommunication Churn

3. High Frequency Bitcoin Price Prediction from Historical and Live Data

4. Population-Scale Clustering and Ethnicity Prediction

5. Topic Modeling - A Better Insight into Large-Scale Texts

6. Developing Model-based Movie Recommendation Engines

7. Options Trading Using Q-learning and Scala Play Framework

8. Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks

9. Fraud Analytics Using Autoencoders and Anomaly Detection

10. Human Activity Recognition using Recurrent Neural Networks

11. Image Classification using Convolutional Neural Networks

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Index

Chapter 8. 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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