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C8

Unsupervised Learning

4 lessons2.5 hoursPlannedFree

Outcome

Cluster, reduce dimensions, and detect anomalies.

Prerequisites

Lessons

  1. L01K-means and its assumptions · coming soonExercise: Choose k with silhouette scores.
  2. L02Hierarchical and density clustering · coming soonExercise: Compare on non-spherical data.
  3. L03PCA and t-SNE/UMAP for visualization · coming soonExercise: Visualize embeddings and explain what they can mislead about.
  4. L04Anomaly detection · coming soonExercise: Flag outliers in transaction data.