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Fraud-Detection-Handbook/fraud-detection-handbook

fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

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Fraud-Detection-Handbook

Fraud-Detection-Handbook

Fraud-Detection-Handbook • individual

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May 3, 2021

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README Summary

This repository provides a comprehensive, reproducible machine learning handbook specifically focused on credit card fraud detection. It contains practical examples, code implementations, and methodologies for building and evaluating fraud detection systems using real-world datasets and industry best practices.

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Supervised LearningAnomaly DetectionImbalanced ClassificationFeature EngineeringTime Series AnalysisBinary ClassificationEnsemble MethodsModel EvaluationCross-validationStatistical Analysis

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Supervised LearningAnomaly DetectionImbalanced ClassificationFeature EngineeringTime Series AnalysisBinary ClassificationEnsemble MethodsModel EvaluationCross-validationStatistical AnalysisCredit Card Fraud DetectionBankingFinTechResponsible AIMLOpsCloud APIAnomalous Transaction IdentificationFinancial Transaction MonitoringPayment ProcessingTabularFinancial ServicesReproducible MLReal-time Payment Fraud PreventionOn-premiseSelf-hostedJupyter Notebook

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research
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high
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research

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Other AI / MLPrimaryInference & ServingMLOps & InfrastructureIndustry: FinTechML Platform & InfrastructureCoding & Dev ToolsData Science & AnalyticsFinance & LegalEvals & BenchmarkingObservability & MonitoringRobotics

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Scale & ReliabilityDeveloper Platform

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Jupyter Notebook100.0%

Timeline

Project created
May 3, 2021
Forked
Mar 23, 2026
Your last push
2 years ago
Upstream last push
2 years ago
Tracked since
Feb 7, 2024

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