Using SAS Viya Workbench for efficient setup and execution, this beginner-friendly guide shows how Scikit-learn pipelines can streamline machine learning workflows and prevent common errors.

Using SAS Viya Workbench for efficient setup and execution, this beginner-friendly guide shows how Scikit-learn pipelines can streamline machine learning workflows and prevent common errors.
The post Python ML pipelines with Scikit-learn: A beginner’s guide appeared first on SAS Blogs.

Python ML pipelines with Scikit-learn: A beginner’s guide

This guide shares the top keyboard shortcuts to boost productivity in VSCode, especially when using SAS Viya Workbench with Python or SAS notebooks. It includes built-in commands for navigating and editing notebooks, plus instructions for creating custom shortcuts tailored to your coding workflow.

This guide shares the top keyboard shortcuts to boost productivity in VSCode, especially when using SAS Viya Workbench with Python or SAS notebooks. It includes built-in commands for navigating and editing notebooks, plus instructions for creating custom shortcuts tailored to your coding workflow.
The post Essential VS Code shortcuts every Python developer should know appeared first on SAS Blogs.

Essential VS Code shortcuts every Python developer should know

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.

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.
The post Predicting Survivor winners with Python: Real-world modeling from 47 seasons of data appeared first on SAS Blogs.

Predicting Survivor winners with Python: Real-world modeling from 47 seasons of data

Learn about how I used Python, SAS, GPS, and heart rate data to track and visualize my snowboarding performance.

Learn about how I used Python, SAS, GPS, and heart rate data to track and visualize my snowboarding performance.
The post From slopes to stats: Building a snowboarding performance dashboard with Python and my own sensor data appeared first on SAS Blogs.