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

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 683
Forks: 210
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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 fraud-detection-handbook

Fraud-Detection-Handbook/fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

This handbook helps students and professionals tackle the complex problem of credit card fraud detection using machine learning. It provides reproducible methods and code examples, turning raw transaction data into actionable insights for identifying fraudulent activities. This resource is for anyone working to improve fraud detection systems.

credit-card-fraud payment-security financial-crime risk-management transaction-monitoring

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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