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2.4. Reflection Checkpoint: Machine Learning Mastery

Before proceeding, ensure you can answer these questions:

  1. What type of ML predicts numeric values?
    • Regression
  2. Is logistic regression used for regression?
    • No! Despite the name, logistic regression is for classification.
  3. What makes clustering different from classification?
    • Clustering is unsupervised (no labels); classification is supervised (has labels)
  4. What are features vs. labels?
    • Features are inputs (what you know); labels are outputs (what you predict)
  5. What does AutoML do?
    • Automatically tries multiple algorithms and selects the best one