Data Analytics Research for COVID19 Pandemic

dc.contributor.author	Tran, Thao
dc.date.accessioned	2022-01-18T21:20:07Z
dc.date.available	2022-01-18T21:20:07Z
dc.date.issued	2021-04-28
dc.identifier.uri	http://hdl.handle.net/1920/12185
dc.description.abstract	The importance of learning about where and how coronavirus has entered the United States will help further our understanding of the disease. According to CDC, the first coronavirus case in the US has been identified in Washington state, and that was due to air travel from Wuhan, China. The most common way Covid-19 can spread is by human interaction, through respiratory droplets such as talking, coughing, sneezing, and more. We apply machine learning models to answer this problem.	en_US
dc.language.iso	en_US	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	Machine Learning	en_US
dc.subject	Pandemic	en_US
dc.subject	COVID-19	en_US
dc.title	Data Analytics Research for COVID19 Pandemic	en_US
dc.type	Working Paper	en_US