Viva prep · Real questions · Student experiences Enroll in Bootcamp

Proctor workspace

Proctor Level3_46

Share your experience Add your viva experience here
20 Questions
1 Sets
0 Topics
0 Reviews

Student reviews

No student reviews for this proctor yet.

Approved viva sets

Download all
See reviews Level3_46 MLP Level 1
Download all Download all
Copy set link
  1. 1
    Explain your notebook/project.
    Times asked 21
  2. 2
    How did you handle outliers?
    Times asked 3
  3. 3
    Is removing outliers always a good practice?
    Times asked 1
  4. 4
    What can you do instead of removing outliers?
    Times asked 1
  5. 5
    What is collinearity?
    Times asked 1
  6. 6
    If two features are highly correlated, what should you do?
    Times asked 1
  7. 7
    Explain Bagging.
    Times asked 6
  8. 8
    Explain Boosting.
    Times asked 6
  9. 9
    How does Bagging work?
    Times asked 1
  10. 10
    How does Boosting work?
    Times asked 1
  11. 11
    Explain Decision Tree.
    Times asked 3
  12. 12
    How does a Decision Tree work?
    Times asked 2
  13. 13
    What is Entropy?
    Times asked 2
  14. 14
    Why are Bagging and Boosting better than a single Decision Tree?
    Times asked 1
  15. 15
    What are different evaluation metrics?
    Times asked 1
  16. 16
    Write the formulas for evaluation metrics.
    Times asked 1
  17. 17
    Why is Accuracy not always a good evaluation metric?
    Times asked 1
  18. 18
    For a diabetes dataset, which evaluation metric would you choose and why?
    Times asked 1
  19. 19
    How does Logistic Regression work?
    Times asked 3
  20. 20
    How does KNN work?
    Times asked 1
Tag summary

No tags.

Maintaine By Lazy IITians Team + IITM BS students Regualr for More data you have