Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
COVID-19, a global epidemic, poses the greatest
threat to humanity. SARS-CoV2 causes COVID-19. The outbreak
originated in Wuhan, Hubei, China. Research occurred during
this time. AI, ML, DL, and image processing were used to forecast
active and confirmed cases. This study selects a dataset for four
countries—India, USA, Canada, and China—and uses Machine
Learning methods to anticipate active cases and evaluate their
accuracy. It also suggests comparing accuracy using Blending,
Stacking, and Voting Regressor algorithms. I utilised SEIR Model
to compare Covid-19 results in four nations.
Keywords:
Machine learning, Ensemble methods, Covid-19
Cite Article:
"Analysis of Covid-19 Cases using ML", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.616 - 624, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306097.pdf
Downloads:
000205101
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator