Fraud-Detection-SQL-Unsupervised. 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.

Problem

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Audience

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Market

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Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.