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...

全面介紹

Saved in:
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:
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
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!