A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations

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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Άλλοι συγγραφείς:	Hossain, Muhammad Iqbal
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Crypto-currency Machine learning Bitcoin Sentiment analysis Prediction Stock Market Digital currency
Διαθέσιμο Online:	http://hdl.handle.net/10361/19233

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