Machine Learning projects require rigorous experimentation and tracking.
GitScrum helps you organize the chaos of data science. Use Boards to move hypotheses from 'Idea' to 'Data Prep' to 'Training' to 'Validation'.
Checklists are crucial for ensuring standardized feature engineering steps. Maintain a repository of research papers and algorithm choices in the Wiki.
Time Tracking helps estimate the cost of expensive GPU compute hours per task.
The GitScrum Advantage
One unified platform to eliminate context switching and recover productive hours.











