1 publication
-
Published Subscription
Ethereum Price Prediction Using Extra Trees and Random Forest RegressorsBy Sushiladevi B. Vantamuri, Shreyas Salimath, Megha Mantur, Rutuja Bhosale, Misba Sindoli
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article →