Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model

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

Библиографические подробности
Главные авторы: Ghose, Swattic, Bin Khaled, Faiyaz, Rafin, Nafiz Imtiaz, Jawwad, Rubaiyet Hossain, Bin Yahiya, Yamin
Другие авторы: Rabiul Alam, Dr. Md. Golam
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2023
Предметы:
Bitcoin
Macro economic
Sentiment analysis
GPU
Bayesian optimization
Bidirectional LSTM
Ensemble random forest regressor
Machine learning
Online-ссылка:http://hdl.handle.net/10361/19963

Internet

http://hdl.handle.net/10361/19963

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