Retrieving "Principal Component Analysis" from the archives

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1. Data Science Fundamentals

   Linked via "principal component analysis"

   |---|---|---|
   | Supervised Learning | Prediction with labeled data | Linear regression, decision trees, neural networks |
   | Unsupervised Learning | Pattern discovery in unlabeled data | K-means clustering, principal component analysis |
   | Reinforcement Learning | Sequential decision-making | Q-learning, policy gradient methods |