Ramazan Ünlü1, Ersin Namlı2, *
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1383-1399, 2020, DOI:10.32604/cmc.2020.011335
Abstract From late 2019 to the present day, the coronavirus outbreak tragically affected
the whole world and killed tens of thousands of people. Many countries have taken very
stringent measures to alleviate the effects of the coronavirus disease 2019 (COVID-19)
and are still being implemented. In this study, various machine learning techniques are
implemented to predict possible confirmed cases and mortality numbers for the future.
According to these models, we have tried to shed light on the future in terms of possible
measures to be taken or updating the current measures. Support Vector Machines (SVM),
Holt-Winters, Prophet, and Long-Short Term Memory… More >
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