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How to transform categorical variable into a matrix binary feature?

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Which of the following feature transformations would be a good choice to transform a categorical variable into a matrix binary feature?

A. One-hot-encoding

B. Principal Component Analysis (PCA)

C. Box-Cox

D. Informative prior
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1 Answer

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Answer: Letter A: One hot encoding is a process by which categorical variables are converted into a form that could be provided to ML algorithms to do a better job in prediction.

 

Source: Hackernoon

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