SAS Users
Providing technical tips and support information, written for and by SAS users.
Using 47 seasons of Survivor data, this analysis explores what gameplay traits correlate with winning, applying Python and SAS Viya Workbench to build predictive models. While stats like challenge wins and voting accuracy help narrow down potential winners, the findings suggest that intangible social dynamics play the most decisive role.
Learn about how I used Python, SAS, GPS, and heart rate data to track and visualize my snowboarding performance.
Generative adversarial networks (GANs) offer a promising solution by creating synthetic data that mimics real datasets, allowing developers to build models without exposing sensitive customer information.
I’ve worked on many different types of systems, platforms, operating systems, and hardware over the years. For software development, one aspect that has remained fairly consistent is the use of Git. Knowing some of the basic, no-nonsense approaches of working with Git has proven extremely valuable, as these approaches tend
Wouldn’t it be great if we could create a Python environment with only the packages and versions we need? Enter: virtual environments.
This article provides a step-by-step guide on manually installing VS Code extensions when access to the online marketplace is restricted, including downloading .vsix files from GitHub and handling dependencies.