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What is the name of the method that transforms categorical features into a series of binary indicator feature variables?

What is the name of the method that transforms categorical features into a series of binary indicator feature variables?
A . Leave-one-out encoding
B . Target encoding
C . One-hot encoding
D . Categorical
E . String indexing

Answer: C

Explanation:

The method that transforms categorical features into a series of binary indicator variables is known as one-hot encoding. This technique converts each categorical value into a new binary column, which is essential for models that require numerical input. One-hot encoding is widely used because it helps to handle categorical data without introducing a false ordinal relationship among categories.

Reference: Feature Engineering Techniques (One-Hot Encoding).

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