How do you handle missing or corrupted data in a dataset?
A) Drop missing rows or columns
B) Replace missing values with mean/median/mode
C) Assign a unique category to missing values
D) All of the above
Correct Answer:
Verified
Q13: Which of the following are ML methods?
A)based
Q14: In Model based learning methods, an iterative
Q15: Which of the following is a widely
Q16: To find the minimum or the maximum
Q17: Which of the following is a disadvantage
Q19: When performing regression or classification, which of
Q20: Which of the following statements about regularization
Q21: Which of the following techniques can not
Q22: In which of the following cases will
Q23: Which of the following is a reasonable
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