https://github.com/abhinavsharma07/fraud_analytics-credit_card_fraud_detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
https://github.com/abhinavsharma07/fraud_analytics-credit_card_fraud_detection

banking data-analysis decision-trees hyperparameter-optimization machine-learning-algorithms pipelines random-forest-classifier svm-classifier xgboost-classifier

Last synced: 3 days ago
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The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

• Host: GitHub
• URL: https://github.com/abhinavsharma07/fraud_analytics-credit_card_fraud_detection
• Owner: AbhinavSharma07
• Created: 2024-08-21T18:12:35.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-25T22:30:46.000Z (3 months ago)
• Last Synced: 2024-08-26T19:34:18.842Z (3 months ago)
• Topics: banking, data-analysis, decision-trees, hyperparameter-optimization, machine-learning-algorithms, pipelines, random-forest-classifier, svm-classifier, xgboost-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 3.39 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Fraud_Analytics-Credit_Card_Fraud_Detection

![Python](https://img.shields.io/badge/Python-3.7%2B-blue)

![Machine Learning](https://img.shields.io/badge/Machine%20Learning-Fraud%20Detection-orange)

![License](https://img.shields.io/badge/License-MIT-green)

## Overview

This project implements machine learning models to detect fraudulent credit card transactions, addressing a critical challenge in the financial sector.

### Key Features

- Analyzes a dataset of 284,807 transactions (492 fraudulent)

- Handles extreme class imbalance (0.172% fraud cases)

- Employs advanced ML techniques for high-precision fraud detection

### Dataset-> [Kaggle website](https://www.kaggle.com/mlg-ulb/creditcardfraud)

## Quick Start

```bash

git clone https://github.com/AbhinavSharma07/Fraud_Analytics-Credit_Card_Fraud_Detection.git

cd Fraud_Analytics-Credit_Card_Fraud_Detection

pip install -r requirements.txt

jupyter notebook