What is the process of converting categorical variables into numerical values for machine learning called?

The correct answer is: B. Data Encoding

Data encoding is the process of converting categorical variables into numerical values for machine learning. This is done by assigning a unique number to each category. For example, if you have a categorical variable called “gender” with the categories “male” and “female”, you could encode it as follows:

• Male = 0
• Female = 1

Once the data has been encoded, it can be used by machine learning algorithms.

The other options are incorrect for the following reasons:

• Feature extraction is the process of identifying and selecting the most important features from a dataset.
• Data standardization is the process of normalizing the data so that it has a mean of 0 and a standard deviation of 1.
• Label encoding is the process of assigning unique numbers to each class in a classification problem.