Chapter 5. Credit Risk Detection and Prediction – Descriptive Analytics
In the last two chapters, you saw some interesting problems revolving around the retail and e-commerce domains. You now know how to detect and predict shopping trends from shopping patterns as well as how to build recommendation systems. If you remember from Chapter 1, Getting started with R and Machine Learning that the applications of machine learning are diverse, we can apply the same concepts and techniques to solve a wide variety of problems in the real world. We will be tackling a completely new problem here, but hold on to what you have learnt because several concepts you learnt previously will come in handy soon!
In the next couple of chapters, we will be tackling a new problem related to the financial domain. We will be looking at the bank customers of a particular German bank who could be credit risks for the bank, based on some data that has been previously collected. We will perform descriptive...
