
Predicting COVID-19 impact on demand and supply of cryptocurrency using machine learning
Author(s) -
David Opeoluwa Oyewola,
Emmanuel Gbenga Dada,
Juliagozi Ndunagu,
Daniel Eneojo Emmanuel
Publication year - 2021
Publication title -
international journal of applied mathematics, electronics and computers
Language(s) - English
Resource type - Journals
ISSN - 2147-8228
DOI - 10.18100/ijamec.958160
Subject(s) - random forest , decision tree , cryptocurrency , support vector machine , naive bayes classifier , artificial intelligence , machine learning , computer science , multinomial logistic regression , business , econometrics , economics , computer security