AmirhosseinHonardoust / Fraud-Detection-SQL-UnsupervisedLinks
Detect suspicious financial transactions using SQL and Python. Build user-level behavioral features in SQLite, apply Isolation Forest for anomaly detection, and visualize high-risk patterns. Demonstrates unsupervised fraud analytics and SQL-driven data science workflow.
☆28Updated 3 months ago
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