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.

Dettagli Bibliografici
Autori principali:	Ghose, Swattic, Bin Khaled, Faiyaz, Rafin, Nafiz Imtiaz, Jawwad, Rubaiyet Hossain, Bin Yahiya, Yamin
Altri autori:	Rabiul Alam, Dr. Md. Golam
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Bitcoin Macro economic Sentiment analysis GPU Bayesian optimization Bidirectional LSTM Ensemble random forest regressor Machine learning
Accesso online:	http://hdl.handle.net/10361/19963

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