Hi, this project is called Home Credit Scorecard Model. Basically, in this project, I tried to determine the likelihood of applicant repaying the loan on time. This will minimize the percentage of loan defaults or the risk of borrowers failing to repay their loans on time.
This project is part of my journey in Home Credit Indonesia (virtual internship experience by Rakamin), and this is the final project. The repo can be found here https://github.com/ahmadnurokhim/home_credit_scorecard
Dataset
The dataset use here is from the company Home Credit Indonesia.
Tools & Technology
- Jupyter Notebook: I use jupyter notebook to do exploration, data preprocessing, training, and evaluation
- Sklearn: this library is use as the machine learning framework. Since I learn about this in the internship, I choose to use this instead of other framework (e.g. Tensorflow or Pytorch)
Gallery
