Photo by Andre Taissin on Unsplash
This project is a ML approach to predict credit card client default.
Client default is a great challenge finance institutions face that can cause great loss. Being able to predict it is important so companies can save and avoid losses.
Financial institutions are increasing their investment in AI and ML with the purpose of predicting default and as a result minimizing it.
The entire process is detailed and coded in the notebooks: PT or EN
Also, a blog post of the findings is available here.
UCI Machine Learning Repository and Kaggle for providing the Default of Credit Card Clients Dataset.
Lichman, M. (2013). UCI Machine Learning Repository (http://archive.ics.uci.edu/ml) . Irvine, CA: University of California, School of Information and Computer Science.