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I've a regression issue and I would like to convert a lot of categorical variables into dummy information, which will make more than two hundred new columns. Must I do the attribute variety before this stage or soon after this step?
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Is there a means similar to a guideline or an algorithm to routinely choose the “finest of the greatest”? Say, I take advantage of n-grams; if I take advantage of trigrams on the one thousand instance facts set, the number of characteristics explodes. How am i able to set SelectKBest to an “x” variety immediately according to the very best? Thanks.
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