top of page

Predicting Credit Risk: detection for high-risk credit applicants

The main objective of this project is to accurately detect if a given client is going to default using Machine Learning models, such as: Random Forest, GlmNet, Logistic Regression and Linear Discriminant Analysis, Support Vector Machine and Neural Network. 

bottom of page