What’s the difference between supervised and unsupervised learning?Dec 17, 2024

I’m studying machine learning and a bit confused about supervised vs. unsupervised learning. Can someone explain the difference?

Data Science
Answers (1)
Harun KaranjaDec 17, 2024
  • Supervised Learning: You train the model with labeled data (input-output pairs). Example algorithms: Linear Regression, Decision Trees.
  • Unsupervised Learning: You train the model with unlabeled data. It identifies patterns or clusters on its own. Example algorithms: K-Means Clustering, PCA.
    Use supervised learning for prediction tasks and unsupervised learning for pattern discovery.

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