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Analysis of Patterns of Covid-19 Across the Nation Using Machine Learning.

EasyChair Preprint no. 7294

12 pagesDate: January 5, 2022

Abstract

The calamition eruption of pandemic (SARS-CoV-2) which is named as corona virus or COVID-19 lead to the global hazard to all the human beings. Entire world is investing amazing amounts of energy to battle against the spread of this fatal ailment as far as framework, account, information sources, defensive apparatuses, life-chance medicines and a few different assets. The AI researchers were investing their skills and time in developing models for the analyses of this deadly situation with the help of worldwide repository . The objective of this this paper is to use AI and machine learning with purpose of understanding analysing the patterns of COVID-19 across the nation using machine learning models using the repositiory provided by the on time data from the john hopkins university with the target of knowing its regular exponential conduct alongside the forecast of upcoming reachability of t COVID-19 around the world.

Keyphrases: *artificial intelligence, *Corona Virus, *Machine Learning, *Prediction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:7294,
  author = {Praddumn Singh Hada},
  title = {Analysis of Patterns of Covid-19 Across the Nation Using Machine Learning.},
  howpublished = {EasyChair Preprint no. 7294},

  year = {EasyChair, 2022}}
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