Credit Card Default Prediction Using Supervised Classification Models Part 2

This video was prepared for a Machine Learning course project. The goal of the project is to predict whether a credit card holder will default on their payment, in order to reduce financial risk for banks and lending institutions. The following models are implemented and compared in this project: Dummy Classifier Logistic Regression Random Forest with SMOTE Neural Network Because of YouTube’s upload limits, the full presentation is split into two parts. This video contains the second part of the project.