/Credit-Card-Fraud-Detection

Application for several feature analysis involving fraud detection and fraud protection services recommender.

Primary LanguageJupyter NotebookMIT LicenseMIT

Credit Card Fraud Detection System

Flask application for feature analysis involving fraud detection and a recommender system for fraud protection services. Incorporating the use of SOTA machine learning algorithms and deep learning techniques.

Table of Contents

Installation

  1. Clone the repository - git clone
  2. Install the requirements - pip install -r requirements.txt
  3. Run the application - python app.py

Usage

  1. Run the application - python app.py
  2. Navigate to the application's URL - http://localhost:5000/
  3. Upload a CSV file - transactions.csv
  4. Select the target column - Class
  5. Select the features to analyze - Amount, Is Fraud, etc.
  6. Click the "Analyze" button - Analyze

Contributing

  1. Fork the repository - ``
  2. Create a new branch - git checkout -b new-branch
  3. Commit your changes - git commit -m "New branch"
  4. Push your changes - git push origin new-branch
  5. Submit a pull request - ``

License

MIT

Credits

Author

Jason Robinson