Welcome to the GitHub repository for Credit Risk Modeling! This repository is dedicated to sharing code and resources for modeling credit risk. Detailed explanations of each step of the modeling process can be found in a series of posts on my Medium blog.

This project is documented extensively through a series of blog posts on Medium. Each post covers a specific aspect of credit risk modeling, from data preparation to feature selection. You can follow the steps and understand the reasoning behind each decision by visiting the following links:

1. Credit Risk 1: Data Preparation and Exploratory Analysis
   Explore how the dataset is cleaned and prepared for modeling, and delve into initial exploratory analysis to understand the data better.
   Read the blog post here

2. Credit Risk 2: Feature Selection
   Discover how features are selected for the credit risk model to ensure the most relevant predictors are included in the model.
   Read the blog post here (Link to be updated)

For more insights and detailed discussions on various topics, you can visit my Medium page:
https://medium.com/@gawaingan

The repository is organized to facilitate easy navigation and replication of the results discussed in the blog posts. Each major step in the credit risk modeling process corresponds to a separate directory containing relevant scripts and datasets.

We encourage contributions and suggestions to improve the models or propose new methods of analysis. Feel free to fork the repository, submit pull requests, or open issues to discuss potential changes or enhancements.

Thank you for visiting this repository, and we hope the resources here will assist you in your own projects related to credit risk modeling.