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Which technique can be used to handle missing data in a dataset?
Practice Questions
Q1
Which technique can be used to handle missing data in a dataset?
Feature scaling
Imputation
Normalization
Regularization
Questions & Step-by-Step Solutions
Which technique can be used to handle missing data in a dataset?
Steps
Concepts
Step 1: Identify the missing data in your dataset.
Step 2: Choose a method to fill in the missing values, such as using the average, median, or mode of the existing data.
Step 3: Apply the chosen method to replace the missing values with the calculated values.
Step 4: Verify that the missing values have been filled correctly.
No concepts available.
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