Comparative analysis of machine learning models for stock price analysis across different dataset sizes

Comparative analysis of machine learning models for stock price analysis across different dataset sizes

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

מידע ביבליוגרפי
Main Authors: Srabon, Abir Alam, Abrar, Mahmudul Hasan, Rahman, Nimur, Ahmed, Washif Uddin, Hridy, Salamat Sajid
מחברים אחרים: Mostakim, Moin
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
Stock price analysis
Explainable AI
Q-learning
Bi-LSTM
Restricted boltzmann machine
LSTM
Deep belief network
Dataset size
Performance evaluation
Interpretable models
Predictive accuracy
Machine learning
Artificial intelligence
גישה מקוונת:http://hdl.handle.net/10361/22013

אינטרנט

http://hdl.handle.net/10361/22013

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