We have dealt with some interesting applications of machine learning in the e-commerce domain in the last couple of chapters. For the next two chapters, our big challenge will be in the financial domain. We will be using data analysis and machine learning techniques to analyze financial data from a German bank. This data will contain a lot of information regarding customers of that bank. We will be analyzing that data in two stages which include descriptive and predictive analytics.
Descriptive: Here we will look closely at the data and its various attributes. We will perform descriptive analysis and visualizations to see the kind of features we are dealing with and how they might be related to credit risk. The data we will be dealing with here consists of labeled data already and we will be able to see how many customers were credit risks and how many weren't. We will also look closely at each feature in the data and understand its significance which will be useful in...