Anomaly-Detection. Anomaly detection in synthetic transaction and sales data with Python. Generates realistic data, injects unusual events, and applies Isolation Forest, Local Outlier Factor, and Z-score methods to detect outliers. Produces anomaly reports and visualizations for portfolio-ready demonstration of data science skills.

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.