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.

Bibliographische Detailangaben
Hauptverfasser: Srabon, Abir Alam, Abrar, Mahmudul Hasan, Rahman, Nimur, Ahmed, Washif Uddin, Hridy, Salamat Sajid
Weitere Verfasser: Mostakim, Moin
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
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
Online Zugang:http://hdl.handle.net/10361/22013

Online

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

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