This project is about the analysis of credit risks of German Credit Data.
Starting from a database provided by the Institut f"ur Statistik und "Okonometrie, the goal was to predict whether a debtor is trustable or not. In order to obtain it, I applied an analysis to explore the data, reorganize it and then apply Machine Learning algorithms.