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  1. 1
    Introduction.
    Times asked 9
  2. 2
    Explain the problem statement.
    Times asked 6
  3. 3
    Explain your notebook from start to finish.
    Times asked 1
  4. 4
    What is the learning rate?
    Times asked 3
  5. 5
    How does the learning rate affect overfitting and underfitting?
    Times asked 1
  6. 6
    Coding: Create a dummy Pipeline and add it to a ColumnTransformer.
    Times asked 1
  7. 7
    Coding: Use a different scaling method and a different imputation strategy.
    Times asked 1
  8. 8
    What is Data Preprocessing?
    Times asked 1
  9. 9
    What is EDA?
    Times asked 1
  10. 10
    What is Feature Engineering?
    Times asked 1
  11. 11
    What is Hyperparameter Tuning?
    Times asked 4
  12. 12
    What does random_state = 42 mean?
    Times asked 1
  13. 13
    Questions based on your notebook implementation.
    Times asked 2
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