The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

This repository contains ROC and precision-recall curve animations

Argument mapping and analysis platform

This repository contains the onboarding resources and exercises that are recommended for when you join the Whitaker Lab.

Checklist for scientific papers