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
Descripción
Sumario: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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