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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Srabon, Abir Alam, Abrar, Mahmudul Hasan, Rahman, Nimur, Ahmed, Washif Uddin, Hridy, Salamat Sajid
مؤلفون آخرون: Mostakim, Moin
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2023
الموضوعات:
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
الوصول للمادة أونلاين:http://hdl.handle.net/10361/22013

الانترنت

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

مواد مشابهة