Answer Posted / Prashantpal

Converting categorical variables into factors (also known as dummy coding or one-hot encoding) is necessary in machine learning because computers can't understand categorical data directly. Instead, they treat each category as a unique number. R language provides functions like factor(), as.factor(), and recode() to convert categorical data into factors.

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