sas-machine-learning

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.

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

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.