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Which of the following is a method for handling missing data?

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Question: Which of the following is a method for handling missing data?

Options:

  1. Normalization
  2. Imputation
  3. Regularization
  4. Feature Scaling

Correct Answer: Imputation

Solution: 

Imputation is a technique used to fill in missing values in a dataset.

Which of the following is a method for handling missing data?

Practice Questions

Q1
Which of the following is a method for handling missing data?
  1. Normalization
  2. Imputation
  3. Regularization
  4. Feature Scaling

Questions & Step-by-Step Solutions

Which of the following is a method for handling missing data?
  • Step 1: Understand that missing data means some values in your dataset are not available.
  • Step 2: Learn that imputation is a method used to fill in these missing values.
  • Step 3: Know that imputation can be done in different ways, such as using the average, median, or mode of the available data.
  • Step 4: Realize that using imputation helps to keep your dataset complete for analysis.
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