This repository contains lectures notes from the DataCamp Credit Risk Modeling in R course, which is part of the Applied Finance with R series.
The course was developed by DataCamp and was conducted by Lore Dirick.
Information about the course provided by DataCamp:
"Modeling credit risk for both personal and company loans is of major importance for banks. The probability that a debtor will default is a key component in getting to a measure for credit risk. While introducing other models in this course as well, we focus on two model types that are often used in the credit scoring context; logistic regression and decision trees. We will teach you how to use them in this particular context, and how these models are evaluated by banks. This is a very hands-on course, as you will be learning all of this using a real-life credit data set in."