juniorcl/transaction-fraud-detection
A data science project to predict whether a transaction is a fraud or not.
This project helps financial institutions and payment providers automatically detect fraudulent transactions. It takes transaction data, including amounts and types, and identifies whether each transaction is legitimate or a fraud risk. The primary users are fraud prevention specialists and risk managers who need to minimize financial losses from scams and protect customer accounts.
210 stars. No commits in the last 6 months.
Use this if you manage financial transactions and need an automated system to identify and flag potential fraud to reduce losses.
Not ideal if you're looking for a general-purpose anomaly detection tool for non-financial data or if you need to analyze fraudulent activity post-event rather than predict it.
Stars
210
Forks
104
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 03, 2025
Commits (30d)
0
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