* refactor: clean to roadmap content * 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.
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