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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 7, JULY 2022

Covid-19 Analysis using Machine Learning for Indian states

Bhavya Sharma, Garima Choudhary, Neeta Verma

DOI: 10.17148/IJARCCE.2022.117101

Abstract: During this global pandemic urgency, scientists, healthcare specialists and researchers continue to look for the high quality feasible treatment of COVID-19 disease. The existence of Artificial Intelligence (AI) and Machine Learning (ML) majorly contributed in finding solutions for ongoing novel Coronavirus pandemic outbreak. Various machine learning algorithms like K-means Algorithm, Support Vector Machine, Decision Tree, have proved their importance in forecasting, predicting, analyzing, and visualizing spread and cautious effects of coronavirus in India.

How to Cite:

[1] Bhavya Sharma, Garima Choudhary, Neeta Verma, “Covid-19 Analysis using Machine Learning for Indian states,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.117101