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Proctor Level1_9

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1 Sets
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  1. 1
    Introduction.
    Times asked 9
  2. 2
    Explain your data preprocessing.
    Times asked 1
  3. 3
    Explain the models you used.
    Times asked 1
  4. 4
    Why did your model perform well?
    Times asked 1
  5. 5
    What is Boosting?
    Times asked 2
  6. 6
    What are the important hyperparameters of Gradient Boosting Classifier (GBC)?
    Times asked 1
  7. 7
    What is Bagging?
    Times asked 2
  8. 8
    Explain One-Hot Encoding (OHE).
    Times asked 1
  9. 9
    Explain Ordinal Encoding.
    Times asked 2
  10. 10
    Why do we use sparse_output=False in OneHotEncoder?
    Times asked 1
  11. 11
    Explain your encoding.
    Times asked 2
  12. 12
    Explain your scaling.
    Times asked 2
  13. 13
    Explain your hyperparameters.
    Times asked 1
  14. 14
    Explain your feature engineering.
    Times asked 6
  15. 15
    Coding: Separate numerical and categorical columns.
    Times asked 1
  16. 16
    Coding: Create separate preprocessing pipelines for numerical and categorical columns.
    Times asked 1
  17. 17
    Show your application/project.
    Times asked 1
  18. 18
    Coding: Modify a query using a filter.
    Times asked 1
  19. 19
    What is the difference between Authentication and Authorization?
    Times asked 4
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