# Credit Scoring ML Project

## Overview
This project predicts whether a person is creditworthy using **synthetic machine learning data**.  
It demonstrates the use of **Logistic Regression** and **Random Forest** for classification.

## Features
- Generates a **synthetic credit dataset** with features like Age, Income, Loan Amount, Credit Score, Dependents, and Existing Loans.
- Target: `Class` (0 = Bad Credit, 1 = Good Credit)
- Evaluates models with **Accuracy, Confusion Matrix, Precision, Recall, F1-Score, and ROC-AUC**
- Fully **resume-ready** for ML projects

## How to Run
1. Make sure you have **Python 3** installed
2. Install required libraries:
   ```bash
   python -m pip install pandas numpy scikit-learn