CORONA Analysis

COVID-19 Time Series Analysis Using Machine Learning

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.The Analysis is done on the COVID-19 Outbreak to predict and demonstrate the effect of CORONA virus in various countries on various dates.The dataset is taken from Johns Hopkins University who has collected data from WHO and various international organizations,official governments,hospitals and research institutes.

Dataset ::: https://github.com/CSSEGISandData/COVID-19

The Dataset is formation of following Aggregated data sources and more ::::

World Health Organization (WHO): https://www.who.int/

European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia

US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html

BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/

WorldoMeters: https://www.worldometers.info/coronavirus/

1Point3Arces: https://coronavirus.1point3acres.com/en

COVID Tracking Project: https://covidtracking.com/data. (US Testing and Hospitalization Data))

The repository contains following two modules::::

-->> Time Series Analysis Of World-Wide COVID Recovery Cases

-->> US State-wise COVID Analysis On Various Parameters

You can also check-out my blog at Medium about COVID-19 Analysis ::::

-->> https://medium.com/@thecapricornuseinblick/covid-19-time-series-analysis-e6f3f2235e43