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.