Includes binning categorical variables into lesser number of categories based on t-test, converting categorical variables into continuous features using the mean of the response variable for the respective categories, understanding the relationship between the response variable and predictor variables using data transformations.
|Author||Navin Loganathan [aut], Mohan Manivannan [aut], Santhosh Sasanapuri [aut, cre], LatentView Analytics [ctb]|
|Date of publication||2015-10-31 00:56:46|
|Maintainer||Santhosh Sasanapuri <firstname.lastname@example.org>|
|License||GPL (>= 2)|
apply.ctoc: Applying Categorical to Continuous conversion to a new...
apply.tbin: Extrapolate t-test based binning to a new data
corkscrew-package: Preprocessor for Data Modeling
ctoc: Categorical variables into Continuous features
tbin: t-test based binning
transformation: Relationship between the response variables and predictors
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