Predictive Analysis of Real-Time Strategy using Face book’s Prophet Model on Covid-19 Dataset of India
نویسندگان
چکیده
The global epidemic of the novel coronavirus (COVID-19) called SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) has infected millions and killed millions. prevalence virus is paramount importance in identifying future infections preparing healthcare facilities to avoid death. Accurately predicting spread COVID-19 a challenging analytical practical task for research community. We can learn use predictive analytics predict positive outcomes these risks. These look at risks past successes failures.
 In this paper, Facebook prophet model discusses number large-scale cases deaths India based on daily time-series data from 30 January 2020 April 2021, forecasting visualization. covid-19 pandemic could end prematurely if social distancing safety measures are required stabilize control achieve treatment India. This paper suggests that Prophet Model more effective cases. forecast results will help government plan strategies prevent coronavirus.
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ژورنال
عنوان ژورنال: Journal of pharmaceutical research international
سال: 2021
ISSN: ['2456-9119']
DOI: https://doi.org/10.9734/jpri/2021/v33i51a33496