sigurdurb/credit-card-fraud-detector

Credit Card Fraud Detector

Credit card fraud is a global problem, with 32 billion dollars in 2021. Existing solutions used by banks rely on rule-based engines, where rules used to detect fraud have to be manually added, and fraud is only detected after it happens. Machine learning offers a promising solution to this, having many advantages compared to more traditional rule-based engines, and in recent years, there has been a lot of research on applying machine learning to this problem. In this project, we develop three fraud detectors based on three machine learning algorithms: Deep Neural Network, Random Forest, and Naïve Bayes, with the goal of detecting fraud in real-time with a minimal number of false positives.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Credit card fraud is a global problem, with 32 billion dollars in 2021. Existing solutions used by banks rely on rule-based engines, where rules used to detect fraud have to be manually added, and fraud is only detected after it happens. Machine learning offers a promising solution to this, having many advantages compared to more traditional rule-based engines, and in recent years, there has been a lot of research on applying machine learning to this problem.

In this project, we develop three fraud detectors based on three machine learning algorithms: Deep Neural Network, Random Forest, and Naïve Bayes, with the goal of detecting fraud in real-time with a minimal number of false positives.

The models are trained and evaluated with a data set from Kaggle Credit Card Fraud Detection. The data set containes ~284 000 anonymized credit card transactions labeled as fraudulent or genuine, where only 0.127% are fraudulent.

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Built With

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Getting Started

To get a local copy up and running follow these simple example steps.

Installation

1. Download the data set from Kaggle Credit Card Fraud Detection.
2. Clone the repo

   git clone https://github.com/sigurdurb/credit-card-fraud-detector.git

3. Install required packages

   pip install -r requirements.txt

4. Playaround as you wish

   python evaludate.py

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Team

This Project was developed by the Fraud Prevention Force

• Eva Ósk EfaOSk
• Guðmundur Óli gudmunduro
• Sigurður sigurdurb

Project Link: https://github.com/sigurdurb/credit-card-fraud-detector

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