https://github.com/karimosman89/fraud-detection

Identify fraudulent transactions.Develop a machine learning model that can identify fraudulent transactions in credit card data or insurance claims.Show how your model can reduce financial losses by flagging suspicious activities.
https://github.com/karimosman89/fraud-detection

anomaly-detection lightgbm pandas python scikit-learn xgboost

Last synced: about 2 months ago
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Identify fraudulent transactions.Develop a machine learning model that can identify fraudulent transactions in credit card data or insurance claims.Show how your model can reduce financial losses by flagging suspicious activities.

• Host: GitHub
• URL: https://github.com/karimosman89/fraud-detection
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T12:45:41.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-02T12:02:51.000Z (2 months ago)
• Last Synced: 2024-11-02T12:16:42.094Z (2 months ago)
• Topics: anomaly-detection, lightgbm, pandas, python, scikit-learn, xgboost
• Language: Jupyter Notebook
• Homepage:
• Size: 61.8 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Fraud Detection System

This project develops a machine learning model to detect fraudulent transactions.

## Overview

The system identifies fraudulent transactions in credit card data.

## Dataset

- Source: [Kaggle - Credit Card Fraud Detection](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud)

## Setup

Install dependencies:

        pip install -r requirements.txt

## Usage

- Run the preprocessing script:

         python src/preprocess.py

    

- Train the model:

       python src/model.py