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I've a dataset which incorporates both categorical and numerical characteristics. Ought to I do attribute variety before one particular-sizzling encoding of categorical functions or after that ?
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You'll be able to see which the reworked dataset (3 principal parts) bare tiny resemblance to your supply data.
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Can i use linear correlation coefficient amongst categorical and continuous variable for characteristic range.