Credit Card Fraud Detection

Detect fraudulent credit card transactions using machine learning.

Project Structure

Credit-Card-Fraud-Detection/
├── Credit-Card-Fraud-Detection-EDA.ipynb    # Data exploration and visualization
├── credit_fraud_train.py                    # Train and test ML models
├── credit_fraud_utils_data.py               # Data preprocessing functions
├── credit_fraud_utils_eval.py               # Evaluation metrics and plots
├── credit_fraud_utils_utilities.py          # Helper functions
├── data/                                   # Dataset files
├── models/                                 # Trained models
├── results/                                # Metrics, logs, and figures
├── config/                                 # Config files
├── requirements.txt                        # Python dependencies

Setup

1. Clone the repo:

   git clone https://github.com/Youssef-Bahaa/Credit-Card-Fraud-Detection.git
   cd Credit-Card-Fraud-Detection

2. Install dependencies:

   pip install -r requirements.txt

Data

• Download the Kaggle dataset.
• Put creditcard.csv in the data/ folder.

Usage

• Explore data:

  jupyter notebook Credit-Card-Fraud-Detection-EDA.ipynb

• Train models:

  python credit_fraud_train.py

Results and figures appear in results/.