transaction-fraud-detection and Credit-Card-Fraud-Detection

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 210
Forks: 104
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 119
Forks: 50
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About transaction-fraud-detection

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.

financial-fraud transaction-monitoring risk-management payment-security anti-money-laundering

About Credit-Card-Fraud-Detection

sagnikghoshcr7/Credit-Card-Fraud-Detection

Fraud Detection model based on anonymized credit card transactions

This project helps credit card companies automatically identify suspicious transactions to protect customers from unauthorized charges. It takes anonymized credit card transaction data as input and determines which transactions are likely fraudulent. Credit card fraud analysts, risk managers, and financial operations teams can use this to quickly flag and investigate potential fraud.

credit-card-fraud financial-crime risk-management transaction-monitoring fraud-analysis

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