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PROJECT · Advanced

Detecting Fraudulent Sales Transactions

Detect fraud in 500k reported sales when only a few hundred are confirmed fraud and 96% were never inspected — a semi-supervised problem where the fraud signal must be engineered and the uninspected majority is used, not thrown away.

Before you start

These courses cover the foundations you’ll use.

Already comfortable with these topics? Go straight to the project.

You’re ready when you can…

  • Explore and clean data without discarding every anomaly.
  • Split data before fitting preprocessing or models.
  • Compare precision–recall performance with scarce labels.

Prerequisites are recommendations, not requirements.

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