Credit Card Fraud Detection

This repository contains code for detecting credit card fraud using machine learning techniques.

Files

1. Credit_Card_Fraud_Detection.ipynb: Jupyter Notebook containing the code for credit card fraud detection.
2. LICENSE: License information for the repository.
3. README.md: This file; provides an overview of the repository.

Overview

The Credit_Card_Fraud_Detection.ipynb notebook includes:

• Data preprocessing steps.
• Feature engineering techniques.
• Application of machine learning models (e.g., logistic regression, random forest) for fraud detection.
• Evaluation metrics used to assess model performance.

Usage

To run the notebook:

1. Clone the repository: https://github.com/Shreyaprasad21/Credit-Card-Fraud-Detection.git
2. Navigate to the directory: cd Credit-Card-Fraud-Detection
3. Install dependencies if necessary.
4. Open and run the Credit_Card_Fraud_Detection.ipynb using Jupyter Notebook or JupyterLab.

License

This project is licensed under the MIT License.