Skip to content

Latest commit

 

History

History
9 lines (7 loc) · 482 Bytes

README.md

File metadata and controls

9 lines (7 loc) · 482 Bytes

Fraud-Detection

Overview:

This repository contains a fraud detection pipeline implemented in Python. The pipeline utilizes machine learning techniques to detect fraudulent transactions in financial data.

Goals:

The main goals of this project are:

  1. To develop and evaluate machine learning models for accurately detecting fraudulent transactions.
  2. To provide a scalable and efficient fraud detection solution that can be integrated into real-world financial systems.