#ml-basics

Machine Learning Easy Theory

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Classification vs regression

Classification predicts categories; regression predicts continuous numeric values.

• Class labels vs numbers
• Metrics differ
• Thresholding often matters for classification

#ml #ml-basics

Classification vs regression

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Machine Learning Easy Theory

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Supervised vs unsupervised learning

Supervised learning uses labeled targets, while unsupervised learning looks for structure without target labels.

• Supervised predicts known target
• Unsupervised finds patterns
• Examples: classification vs clustering

#ml #ml-basics #supervised-learning

Supervised vs unsupervised learning

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