Q:

How do you handle missing or corrupted data in a dataset?

0

How do you handle missing or corrupted data in a dataset?


  1. Drop missing rows or columns
  2. Replace missing values with mean/median/mode
  3. Assign a unique category to missing values
  4. All of the above -

All Answers

need an explanation for this answer? contact us directly to get an explanation for this answer

D. All of the above -

need an explanation for this answer? contact us directly to get an explanation for this answer

total answers (1)

Machine Learning basics MCQ Quiz (Multiple Choice Questions And Answers)

Similar questions


need a help?


find thousands of online teachers now
<< What is the purpose of performing cross-validation...