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.

Bibliografische gegevens
Hoofdauteurs: Ghose, Swattic, Bin Khaled, Faiyaz, Rafin, Nafiz Imtiaz, Jawwad, Rubaiyet Hossain, Bin Yahiya, Yamin
Andere auteurs: Rabiul Alam, Dr. Md. Golam
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Bitcoin
Macro economic
Sentiment analysis
GPU
Bayesian optimization
Bidirectional LSTM
Ensemble random forest regressor
Machine learning
Online toegang:http://hdl.handle.net/10361/19963

Internet

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

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