23 lessons
Data Tools · Module 4Module material

The scikit-learn API interview questions

9 questions interviewers ask on this module’s topics, from first principles to the follow-ups. Each comes with a model answer.

  1. What are the roles of X and y?
  2. What do fit, predict and score do?
  3. Why start with a dummy estimator?
  4. What is learned during StandardScaler.fit?
  5. How is a hyperparameter different from a learned attribute?
  6. Why does scaling change k-NN's result?
  7. Why make scaling part of a pipeline?
  8. What does one CV score represent?
  9. Is the largest accuracy always the best business choice?

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