Practical Data Science with R by Nina Zumel John Mount

Practical Data Science with R by Nina Zumel John Mount

Author:Nina Zumel John Mount [Unknown]
Language: eng
Format: epub, pdf
Publisher: Manning Publications


Here, a != b is defined to have a value of 1 if the expression is true, and a value of 0 if the expression is false.

You can also expand categorical variables to indicator variables (as we discussed in section 7.1.4), one for each level of the variable.

If the categories are ordered (like small/medium/large) so that some categories are “closer” to each other than others, then you can convert them to a numerical sequence. For example, (small/medium/large) might map to (1/2/3). Then you can use Euclidean distance, or other distances for quantitative data.



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