abubakar-mughal97/loan-eligibility-classification
Built a supervised ML pipeline using logistic regression, KNN and Naive Bayes to predict loan approval. implemented Binary classification along with EDA, feature engineering and model evaluation (Precision, Recall, F1)
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abubakar-mughal97/loan-eligibility-classification"
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