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: 7 months 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 (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-25T22:30:46.000Z (about 1 year ago)
- Last Synced: 2025-01-10T19:28:10.444Z (9 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


## 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