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Library/ Machine Learning (Supervised + Unsupervised)/ Unsupervised Learning by Building (one technique, two mini projects)/ U03 · Build: Dimensionality Reduction — A: Customer Behaviour Map · B: Handwritten Digits Map

subtopic

Why reduce dimensions + build the data

10 min applied10 min research2 curated resources

A: per-customer spend share across ~10 product categories plus RFM (≈ 13 features). B: load sklearn digits (8×8 images = 64 features). Concepts: High-dimensional data; redundancy; visualisation; compression Project A: Customer behaviour matrix (scaled). Project B: 1,797 digit images × 64 pixels (labels used only to colour plots).

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Why reduce dimensions + build the data · 1x1labs.ai