A shared repository to facillitate machine learning to help cure and contain the Ebola virus.
Created initially by a group of instructors from the General Assembly interested in using data science to make an impact on global health. Additional goals include:
- A means for data scientists to work together to help stop the Ebola virus
- A teaching tool to illustrate to data science students the value their contributions can make to critical global issues
For more information, please visit the Shared Data Folder.