Md-Emon-Hasan/ML-Project-E-commerce-Fraud-Detection
🛒 Provide a robust model that assists in flagging suspicious transactions, ultimately helping businesses improve security and reduce financial losses.
This project helps e-commerce businesses and payment processors detect and flag suspicious transactions to prevent financial losses. It takes in transaction data, processes it, and then tells you which transactions are likely fraudulent. Anyone involved in risk management, fraud prevention, or e-commerce operations would find this useful.
No commits in the last 6 months.
Use this if you need an out-of-the-box solution to automatically identify potentially fraudulent transactions in your e-commerce platform.
Not ideal if you need to investigate fraud patterns manually or require a custom solution tailored to highly unique business rules without machine learning.
Stars
8
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 01, 2024
Commits (30d)
0
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