Owadd/Credit-Risk-Assessment
This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.
No commits in the last 6 months.
Stars
2
Forks
1
Language
Python
License
—
Category
Last pushed
Jun 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Owadd/Credit-Risk-Assessment"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xRiskLab/xBooster
Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into...
ing-bank/skorecard
scikit-learn compatible tools for building credit risk acceptance models
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
ParthS007/Loan-Approval-Prediction
Loan Application Data Analysis