Why do we need to convert categorical variables into factor?
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Answer / Deepak Ekka
In machine learning, converting categorical variables into factors allows for better handling and interpretation of the data. Factors are a special type of variable in R that store categorical data as levels rather than character strings. This makes it easier to perform statistical analyses and predictive modeling.
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