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.

Chi tiết về thư mục
Những tác giả chính:	Srabon, Abir Alam, Abrar, Mahmudul Hasan, Rahman, Nimur, Ahmed, Washif Uddin, Hridy, Salamat Sajid
Tác giả khác:	Mostakim, Moin
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2023
Những chủ đề:	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
Truy cập trực tuyến:	http://hdl.handle.net/10361/22013

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