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Machine learning-based fraud detection system using Logistic Regression, Random Forest, and a Voting Classifier, achieving ~99% accuracy on a synthetic financial dataset.
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Machine learning-based fraud detection system using Logistic Regression, Random Forest, and a Voting Classifier, achieving ~99% accuracy on a synthetic financial dataset.