SOURAV033/FRAUD-DETECTION
Built a scalable, real-time anomaly detection system for transaction monitoring using unsupervised machine learning. The system applies Isolation Forest to detect fraudulent patterns without labelled training data — ideal for real-world financial environments where fraud labels are scarce. Includes NLP feature extraction (TF-IDF, Bag-of-Words)
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Mar 26, 2026
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