Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python

Today world is going through a critical phase. The whole world is infected from the coronavirus [COVID 19]. In India also the number of new cases keeps on increasing. In this paper, the machine learning model has been developed using time series analysis (ARIMA model) for predicting the new cases in...

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Detalles Bibliográficos
Autores principales: Kulshreshtha, Vikas, Garg, N. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Case Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890101/
http://dx.doi.org/10.1007/s40031-021-00546-0
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author Kulshreshtha, Vikas
Garg, N. K.
author_facet Kulshreshtha, Vikas
Garg, N. K.
author_sort Kulshreshtha, Vikas
collection PubMed
description Today world is going through a critical phase. The whole world is infected from the coronavirus [COVID 19]. In India also the number of new cases keeps on increasing. In this paper, the machine learning model has been developed using time series analysis (ARIMA model) for predicting the new cases in India in the next coming days. In this work, results are also compared with the predictive values generated from the ARIMA and AR model and concluded that the ARIMA model is the best fit model as compared to AR model for predicting the new cases in India. Python programming language has been used for implementation. The dataset from January 1, 2020 to July 31, 2020 has been taken for analysis. This paper is useful for researchers for further analysis of COVID-19 pandemic in India.
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spelling pubmed-78901012021-02-18 Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python Kulshreshtha, Vikas Garg, N. K. J. Inst. Eng. India Ser. B Case Study Today world is going through a critical phase. The whole world is infected from the coronavirus [COVID 19]. In India also the number of new cases keeps on increasing. In this paper, the machine learning model has been developed using time series analysis (ARIMA model) for predicting the new cases in India in the next coming days. In this work, results are also compared with the predictive values generated from the ARIMA and AR model and concluded that the ARIMA model is the best fit model as compared to AR model for predicting the new cases in India. Python programming language has been used for implementation. The dataset from January 1, 2020 to July 31, 2020 has been taken for analysis. This paper is useful for researchers for further analysis of COVID-19 pandemic in India. Springer India 2021-02-18 2021 /pmc/articles/PMC7890101/ http://dx.doi.org/10.1007/s40031-021-00546-0 Text en © The Institution of Engineers (India) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Case Study
Kulshreshtha, Vikas
Garg, N. K.
Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title_full Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title_fullStr Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title_full_unstemmed Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title_short Predicting the New Cases of Coronavirus [COVID-19] in India by Using Time Series Analysis as Machine Learning Model in Python
title_sort predicting the new cases of coronavirus [covid-19] in india by using time series analysis as machine learning model in python
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890101/
http://dx.doi.org/10.1007/s40031-021-00546-0
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