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Regression Analysis of COVID-19 using Machine Learning Algorithms

机译:使用机器学习算法对COVID-19进行回归分析

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The outbreak of the Novel Coronavirus or the COVID-19 in various parts of the world has affected the world as a whole and caused millions of deaths. This remains an ominous warning to public health and will be marked as one of the greatest pandemics in world history. This paper aims to provide a better understanding of how various Machine Learning models can be implemented in real-world situations. Apart from the analysis done on the world figures, this paper also analyzes the current trend or pattern of Covid-19 transmission in India. 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 June 24, 2020. For future references, the data can be further analyzed, and more results can be obtained.
机译:新型冠状病毒或COVID-19在世界各地的爆发已影响到整个世界,并造成数百万人死亡。这仍然是对公共卫生的不祥之兆,将被标记为世界历史上最严重的流行病之一。本文旨在更好地理解在现实情况下如何实现各种机器学习模型。除了对世界数据进行分析外,本文还分析了印度Covid-19传播的当前趋势或模式。借助印度卫生和家庭福利部的数据集,这项研究提出了世界不同地区经历的各种趋势和模式。从2020年1月22日到2020年6月24日,已经获得了154天的研究数据。可以作进一步的分析,以供将来参考,并可以获得更多的结果。

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