---
title: "Project in Data Analytics for Decision Making"
author: "Manon Verjus and Yooby Gigandet"
date: "2022-06-08T17:39:16Z"
tags: [Course]
link: "https://bookdown.org/yoobygigandet/bookdownproj/"
length_weight: "2.8%"
pinned: false
---

Our work for the course “Project in Data Analytics for Decision Making” is to predict the credit risk linked to customers for our client, a German bank. To do so, we used the CRISP-DM method (CRoss Industry Standard Process for Data Mining): Business understanding: Credit risk is defined as the risk of loss resulting from the failure by a borrower to repay the principal and interest owed to the lender. By performing a credit risk analysis, the lender determines the borrower’s ability to meet debt obligations in order to cushion itself from losses. It is therefore important to efficiently ...
