Credit_Risk_Analysis

This is a course-work independent project I worked on in MSc Fall 2021 semester.

Aim

The purpose of this project is learn,compare and evaluate different supervised learning models on credit data

Models Covered

1. Logistic Regression
2. Decision Tree
3. Random Forest

Tuning

The random forest model is tuned using repeated cross-validation provided by "Caret" package

I have added a RMarkdown file. I hope it will help in better explaining the whole code-base.