ποΈ Week 09 - Anomaly detection
Theme: Unsupervised Learning
This page was updated to fix the link to the lecture notebook.
The lecture notebook was updated to:
- introduce Isolation Forest before LOF (as we did in the lecture itself)
- and to clarify the selection of parameters for isolation forest
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)).
Weβll be releasing the topic of your last summative (due on W11+1) this week!
π©π»βπ« Lecture Material
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Download the Quarto markdown file for this lecture:
Download the dataset for this lecture: