Paper Key : IRJ************298
Author: Vinutha K,Sushma T,S Sriraksha,Poornima R M,Prajwal B R
Date Published: 04 Mar 2023
With the spread of COVID-19 worldwide, peoples production and life have been significantly affected. It is very important to use data science and technology to help human in a timely manner to prevent and control the development of the pandemic, maintain social stability, and assess the impact of the pandemic. The outbreak of this novel corona virus has affected the world as a whole and caused millions of deaths. This remains the greatest pandemic in the world history. This paper aims to provide a better understanding of how various Machine Learning models can be implemented in real-world situations. With the help of datasets from the Ministry of Health and Family Welfare of India, this study puts forward various trends and patterns experienced in different parts of the world. The data to be studied has been obtained for 154 days i.e. from January 22, 2020, till July 30th 2020. For future references, the data can be further analyzed, and more results can be obtained.
DOI LINK : 10.56726/IRJMETS34060
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