🗓️ Week 09 - Anomaly detection

Theme: Unsupervised Learning

Important

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Welcome to the nineth week of this course!

We finish our exploration of unsupervised learning with yet another family of unsupervised learning: anomaly detection. We will explain in which cases anomaly detection applies before introducing a few techniques of anomaly detection (anomaly detection through clustering, a tree-based anomaly detection technique called isolation forest and a density-based anomaly detection technique called Local Outlier Factor (LOF)).

Your first summative is due this week on Mar 20th at 5pm.

We’ll also be releasing the topic of your last summative (due on April 14th at 5pm) this week!