https://github.com/engineeringmadness/loandefault

Loan default prediction using Gradient Boosting
https://github.com/engineeringmadness/loandefault

Last synced: about 1 month ago
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Loan default prediction using Gradient Boosting

• Host: GitHub
• URL: https://github.com/engineeringmadness/loandefault
• Owner: engineeringmadness
• Created: 2018-10-28T12:41:44.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-12-14T12:54:43.000Z (over 7 years ago)
• Last Synced: 2025-11-20T20:05:25.009Z (7 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 5.38 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Loan Default Predictor

1. Clone repository 

2. make new folder called input just outside repo folder and download the csv files here from kaggle page - 

https://www.kaggle.com/c/home-credit-default-risk/data

3. Run command - jupyter notebook in the repo to view the notebooks

4. Either use anaconda or use python installed with numpy, pandas, matplotlib, seaborn, scikit-learn, jupyter libraries