Prophet forecasting and temporal modeling of Covid-19 cases in the Philippines

Prophet forecasting and temporal modeling of Covid-19 cases in the Philippines

This paper aims to make use of machine learning models to forecast the trend of COVID-19 in the Philippines to approximate when surges might occur and for the country to be better prepared for the next wave. This study uses 5 different forecasting techniques: Naïve method, Simple Exponential Smoothi...

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書目詳細資料
Main Authors:	Bautista, Mary Colleen A., Nunez, Adrian Joshua B.
格式:	text
語言:	English
出版:	Animo Repository 2022
主題:	Forecasting—Mathematical models Statistics and Probability
在線閱讀:	https://animorepository.dlsu.edu.ph/etdb_math/1 https://animorepository.dlsu.edu.ph/context/etdb_math/article/1000/viewcontent/2022_Nunez_Bautista_Partial.pdf
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