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Library/ Machine Learning (Supervised + Unsupervised)/ Unsupervised Learning by Building (one technique, two mini projects)/ U02 · Build: Clustering — A: Customer Segmentation with RFM (Online Retail II) · B: Electricity Day Types

subtopic

Practice (optional): German Credit personas revisited

0 min applied15 min research1 curated resources

Re-run the EDA E11 persona clustering with hierarchical, DBSCAN and GMM. Concepts: Transfer to mixed-type, small data Project A: German Credit personas with 4 algorithms. Project B: —

Builds on: E11 · Build: EDA for Segmentation (Project A without the target)

Notes, key code, what to skip and 1 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Practice (optional): German Credit personas revisited · 1x1labs.ai