The Nominal Dimensionality Reduction repository provides a SAS Studio Custom Step for reducing the dimensionality of nominal (categorical) variables using SAS's PROC NOMINALDR procedure.

Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.

Upstream repository for the Find Nearest Neighbors Custom Step, which searches a base table to identify nearest neighbors to observations in an input query table, based on a distance formula. Note downstream contribution is part of https://github.com/sassoftware/sas-studio-custom-steps