The dataset used in this project can be found on Kaggle: Credit Card Fraud Detection Dataset.

To get started with this project:

1. Clone this repository to your local machine.
2. Ensure you have Jupyter Notebook installed and running.
3. Install the required dependencies.
4. Download the "Credit Card Fraud Detection Dataset" and place it in the designated directory.
5. Open and run the Jupyter Notebook "Credit-Card-Fraud.ipynb" to train and evaluate the model.

We welcome contributions to enhance the functionality and efficiency of this script. Feel free to fork, modify, and make pull requests to this repository. To contribute:

1. Fork the Project.
2. Create your Feature Branch (git checkout -b feature/AmazingFeature).
3. Commit your Changes (git commit -m 'Add some AmazingFeature').
4. Push to the Branch (git push origin feature/AmazingFeature).
5. Open a Pull Request against the main branch.

This project is licensed under the MIT License - see the LICENSE file for details.

Author: Akhil Chhibber

LinkedIn: https://www.linkedin.com/in/akhilchhibber/