Hybrid machine learning for stock price prediction in the Moroccan banking sector

Analyzing historical stock market data using machine-learning techniques is crucial for data scientists and researchers to optimize stock price prediction models. This study uses machine learning regression algorithms and feature selection methods to optimize a simulated stock price prediction model...

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Bibliographic Details
Published in:International journal of electrical and computer engineering (Malacca, Malacca) Vol. 14; no. 3; p. 3197
Main Authors: Itri, Bouzgarne, Mohamed, Youssfi, Omar, Bouattane, Latifa, El Madani, Lahcen, Moumoun, Adil, Oualid
Format: Journal Article
Language:English
Published: 01.06.2024
ISSN:2088-8708, 2722-2578
Online Access:Get full text
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