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Scala Machine Learning Projects

You're reading from   Scala Machine Learning Projects Build real-world machine learning and deep learning projects with Scala

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Length 470 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (13) Chapters Close

Preface 1. Analyzing Insurance Severity Claims 2. Analyzing and Predicting Telecommunication Churn FREE CHAPTER 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 12. Other Books You May Enjoy

Client subscription assessment through telemarketing

Some time ago, due to the global financial crisis, getting credit in international markets became more restricted for banks. This turned attention to internal customers and their deposits to gather funds. This led to a demand for information about a client's behavior for their deposits and their response to telemarketing campaigns conducted by the banks periodically. Often, more than one contact to the same client is required in order to assess whether the product (bank term deposit) will be (yes) or will be (no) subscribed.

The aim of this project is to implement an ML model that predicts that the client will subscribe to a term deposit (variable y). In short, this is a binary classification problem. Now, before we start implementing our application, we need to know about the dataset. Then we will see an explanatory analysis...

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