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Which technique is used to handle missing values in a dataset?
Practice Questions
Q1
Which technique is used to handle missing values in a dataset?
Feature scaling
Imputation
Normalization
Regularization
Questions & Step-by-Step Solutions
Which technique is used to handle missing values in a dataset?
Steps
Concepts
Step 1: Understand that missing values are gaps in your data where information is not available.
Step 2: Learn about imputation, which is a method used to fill in these gaps.
Step 3: Identify the type of imputation you can use, such as filling with the mean, median, or mode of the available data.
Step 4: Apply the chosen imputation method to replace the missing values in your dataset.
No concepts available.
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