Predicting cases in India using Machine Learning: COVID-19
Author(s):
Payal Patel, Mehul P. Barot
Keywords:
COVID-19, Masking, Pandemic Waves, SARS-CoV2, Vaccination.
Abstract
COVID-19, a virus that is said to have originated in Wuhan, China, has a genuine effect on almost the entire world's population. The Health Organization (WHO) has called it a global pandemic due to the complications that this particular health epidemic has created all over the world. Because of continual alterations in the virus's genetic components, the pandemic has returned in numerous waves. Here, we are detecting the COVID-19 cases, i.e., confirmed, death, and cured cases in India only. We are performing this analysis based on the cases occurring in different states of India in chronological dates. On this dataset, first, we performed data cleansing and feature selection, then performed forecasting of all classes using linear regression model and support vector machine, where support vector machine model outperformed the other, therefore, the linear regression model is used for prediction and analysis of all the results. The predicted value of the model is compared with actual result to find the accuracy.
Article Details
Unique Paper ID: 154924

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 845 - 854
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies