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.

Бібліографічні деталі
Автори: Srabon, Abir Alam, Abrar, Mahmudul Hasan, Rahman, Nimur, Ahmed, Washif Uddin, Hridy, Salamat Sajid
Інші автори: Mostakim, Moin
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2023
Предмети:
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
Онлайн доступ:http://hdl.handle.net/10361/22013

Інтернет

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

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