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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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2022
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| Subjects: | |
| Online Access: | 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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| Institution: | De La Salle University |
| Language: | English |