1Foundational Skills & Classical Machine Learning 1.3Unsupervised Learning
1.3.4DBSCAN, Hierarchical & Spectral Clustering
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This module is on the syllabus, but nobody has written it yet. If you'd like to take it on, say so on Discord or start the file on GitHub.
| Part | 1 Foundational Skills & Classical Machine Learning |
|---|---|
| Topic | Unsupervised Learning |
| Subtopic | DBSCAN, Hierarchical & Spectral Clustering |
| Practice | Contestants should develop practical skills necessary to implement AI methods in code. This includes knowing how to use library functions effectively, call the method on a particular data, and interpret outputs. |