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Research Paper | Computer Engineering | India | Volume 10 Issue 5, May 2021 | Popularity: 4.7 / 10

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A Data Analysis of Global Pandemic Coronavirus using Machine Learning Algorithms

Sakshi Jain

Abstract: The world is experiencing so many disturbing thing at social, political, natural and health level. The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has become a global issue and declared as pandemic by world health organization. Many countries have implemented restrictions on population movement to slow the spread of severe acute respiratory syndrome coronavirus 2 and prevent health systems from becoming overwhelmed; some countries have instituted full or partial lockdowns. There are several outbreak prediction models for COVID-19 are being used around the world to make informed decisions and enforce relevant control measures. We try to concentrate on COVID-19 predictions using Machine Learning Techniques. The covid-19 virus second mutate has been found which increase infection rate more rapidly and increase the number of patient. The Data such as the number of persons are infected by the virus in the world, total number of persons infected by this virus in India, number of persons infected by this virus per day, the number of persons deaths, number of persons per day, number of persons recover due to this virus is used as an input and these features are modeled for analysis and prediction.

Keywords: Forex Reserve, Foreign currency, Machine Learning, Arima, Predictive Analysis, Fbprophet, Forecasting Model, Central bank, RBI

Edition: Volume 10 Issue 5, May 2021

Pages: 261 - 267

DOI: https://www.doi.org/10.21275/MR21505191843

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