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Intermediate

Unsupervised Learning

No labels, just structure: clustering and dimensionality reduction.

Models that find patterns in unlabeled data, grouping similar examples together and compressing high-dimensional data down to what actually matters.

7 of 7 lessons available

NOBODY SAID HOW MANY GROUPSTHE GROUPS WERE ALREADY THERE
No labels, and nobody says how many groups there are. The structure was in the data all along.

Lessons in this path

  1. Unsupervised Learning
  2. K-Means Clustering
  3. Hierarchical Clustering
  4. DBSCAN: Density-Based Clustering
  5. Principal Component Analysis (PCA)
  6. Dimensionality Reduction Beyond PCA: t-SNE and UMAP
  7. Anomaly Detection
Unsupervised Learning | OnePocketML