Basket analysis is one of the basic tools for testing customer shopping preferences. Based on the results, you can arrange the products in the store or prepare promotions. You can also use it to prepare a recommendation algorithm.

Principal component analysis is a statistical procedure that allows you to summarize the content of information in large data sets using a smaller set of tools, such as, for example, summary indicators that allow easier visualization and analysis.

The purpose of my project is to cluster people who took a credit. In order to do this I was working on dataset called “German Credit Risk” downloaded from Kaggle.