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M3 — Clustering + Pipelines/SHAP
Clustering lab video, segmentation readout article, unsupervised quiz, readout + pipeline submissions.
Module Content
k-Means / DBSCAN / Hierarchical Lab
Outcome: cluster + justify k via silhouette/elbow. Curated video (8:30, verified 2026-09-24 via yt-dlp): StatQuest: K-means clustering (StatQuest with Josh Starmer) Watch: https://www.youtube.com/watch?v=4b5d3muPQmA Notes: K-means algorithm walkthrough; elbow plot for picking K; K-means vs hierarchical contrast. Lab: cluster the segmentation set, justify K via elbow (pair with silhouette in the notebook). Key moments: 0:00 Intro; 0:33 K-means algorithm; 4:26 Elbow plot for K; 6:06 K-means vs hierarchical; 6:28 2-D example; 7:08 Heatmaps.
Segmentation + Business Readout
Segment profiles + targeting actions. pandas_master playbook.
Quiz: Unsupervised
10 scenario MCQs (k-means/DBSCAN/linkage/metrics). Pass >= 80.
Segmentation Lab + Business Readout
Clusters + readout memo. 100-pt rubric inside.
Sklearn Pipelines + SHAP Introspection
ColumnTransformer pipeline; top-5 SHAP. 79-pattern skeleton.