A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
| Autori principali: | , , , , |
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| Altri autori: | |
| Natura: | Tesi |
| Lingua: | English |
| Pubblicazione: |
Brac University
2023
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| Soggetti: | |
| Accesso online: | http://hdl.handle.net/10361/19233 |