The Definitive Guide to python homework help



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I have a regression problem and I want to transform lots of categorical variables into dummy knowledge, which can generate over 200 new columns. Should I do the feature assortment ahead of this step or following this move?

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It uses the design accuracy to establish which attributes (and blend of characteristics) add essentially the most to predicting the concentrate on attribute.

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