Level: Intermediate
Jordan Hiller, JMP Senior Systems Engineer, SAS
Mike Muhlada, JMP Senior Test Engineer, SAS
Successful predictive modeling projects require careful feature engineering. Both a science and an art, feature engineering involves gathering, summarizing, reshaping and transforming data into a form usable by modeling algorithms. This tutorial will describe some of the common activities in feature engineering and demonstrate JMP tools that can be used to perform them.There will be in-depth discussion and examples showing the use of formula columns for binning and transformation, the Recode platform for collapsing categories and Query Builder for summarization.
