For Data Science for the Common Good (DS4CG), produced traditional machine learning and Gaussian processes to forecast property emissions data for the Massachusetts Department of Capital Asset Management and Maintenance (DCAMM).
We characterize social polls online and leverage machine learning models to describe the demographics, political leanings, and other characteristics of the users who author and interact with social polls. We study the relationship between social poll results, their attributes, and the characteristics of users interacting with them.
We characterize social polls online and leverage machine learning models to describe the demographics, political leanings, and other characteristics of the users who author and interact with social polls. We study the relationship between social poll results, their attributes, and the characteristics of users interacting with them.