A collection of recipes and other resources for building containers that include SAS Viya software.

This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products on Microsoft Azure Cloud.

SAS Viya Administration Resource Kit (SAS Viya ARK). Tools and utilities to help SAS customers with SAS Viya readiness.

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 project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products products on Amazon AWS.

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

Defining, applying, and documenting repeatable, standardized authorization patterns for SAS Viya.

About this Professional Certificate: When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare y…

The Viya Perf Tool is a Bash script that measures network and/or storage I/O performance on SAS Viya 3.5 hosts running RHEL or CentOS 7.x.

This repository contains about my weekly projects from Big Data Analytics II course at my college

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.

WIP folder for SAS Studio Custom Step NLP - Extract Rule Configuration

This project aims at providing the optimal solution for minimum transportation costing based on two decision variables along with a pictorial overview of the problem. The project uses Excel for dataset cleaning and manipulation as well as python programming for simplex solution and finally, SAS Visual Analytics for visualization.

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

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.

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.

Integrate Model Repository files from SAS Viya with Git by commit through SAS Viya Model Manager API. Allows tracking of Model metadata and artfifacts, such as hyperparameters, model parameters, training information, etc

Create visualization analysis using SAS and Power BI. SAS is used to predict classification using several algorithms such as random forest, gradient boosting, and logistic regression. Power BI is used to display dashboards for descriptive analysis

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.