Repository to share SAS Studio Custom Steps. A custom step enables you to create a user interface for SAS Studio users at your site to complete a specific task.
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Updated
Aug 20, 2024 - SAS
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
Repository to share SAS Studio Custom Steps. A custom step enables you to create a user interface for SAS Studio users at your site to complete a specific task.
This repository provides a Python class and associated methods to facilitate access to the content of SAS Studio Custom Steps.
This project contains Terraform scripts to provision cloud infrastructure resources, when using vSphere, and Ansible to apply the needed elements of a Kubernetes cluster that are required to deploy SAS Viya platform product offerings.
This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products products on Google GCP
Compilado de Códigos SAS para facilitar a vida de qualquer um.
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
This project aims to create a comprehensive data analysis system based on the Wide World Importers (WWI) database.
Upstream repository for the Redirect Log SAS Studio Custom Step. A low-code component meant for use in SAS Viya to help redirect log and output of downstream programs to specified external files.
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.
Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.
Upstream Repository for the NLP - Categories Testing Framework SAS Studio Custom Step. Automated enhancement to SAS Viya Natural Language Processing model development process. To be submitted to /sassoftware/sas-studio-custom-steps as well. Refer README for more details.
Upstream repository for a SAS Studio Custom Step to copy files between filesystem and the SAS Infrastructure Data Server (SAS Content)
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
This repository is dedicated to showcasing machine learning and analytics projects using SAS Viya, a powerful and scalable platform for data analysis, modeling, and deployment. Here, you will find a collection of projects, code samples, and resources to help you learn and apply machine learning techniques using SAS Viya to different case studies.
Created by Tony Barr, Jim Goodnight
Released January 1972