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developer-roadmap/roadmaps/data-analyst/content/unsupervised-learning@FntL9E2yVAYwIrlANDNKE.md
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* refactor: move shared helpers into scripts/lib
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Unsupervised Learning

Unsupervised learning finds patterns in data without labeled training examples. Common techniques include clustering (grouping similar data points together) and dimensionality reduction (compressing data while preserving structure). K-Means and PCA are widely used unsupervised methods in data analysis.

Visit the following resources to learn more: