SAS Users
Providing technical tips and support information, written for and by SAS users.
Predicting Survivor winners with Python: Real-world modeling from 47 seasons of data
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.
From slopes to stats: Building a snowboarding performance dashboard with Python and my own sensor data
Learn about how I used Python, SAS, GPS, and heart rate data to track and visualize my snowboarding performance.
Using synthetic data to bridge production and development
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.