This repository contains a machine learning project that predicts loan repayment outcomes through a web application. It uses Python and Scikit-learn to train a logistic regression model on historical loan data, and provides a responsive frontend for user interaction.
From the README
💳 LoanSafe Score – Bank Loan Prediction Web App LoanSafe Score is an end-to-end Machine Learning web application that predicts whether a loan applicant is likely to repay or default on a loan based on customer information. The application combines a Python backend with a modern, responsive frontend built using Loveable AI. A Logistic Regression model is trained on historical loan repayment data, evaluated on unseen test data, and used to generate predictions for new applicants. 🔗 Live Demo: https://loan-safe-score.lovable.app 🏠 Web App Home Page --- 📝 Loan Application Form Users can input customer information through an intuitive interface to generate loan repayment...
Skills
- Jupyter Notebook
- bank-loan-analysis
- data-science
- loan-prediction
- logistic-regression
- loveable-ai
- machine-learning
- portfolio-project
- python
- scikit-learn
- web-application
