Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalles Bibliográficos
Autores principales:	Zaman, Md. Sayeed Ibne, Kamal, Mir Ishraq, Ishan, Samiu Mostafa, Khan, Shafayat Zamil, Hossain, Samiha
Otros Autores:	Esfar-E-Alam
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2022
Materias:	Cryptocurrency LSTM Bitcoin Litecoin Ethereum Cryptocurrency price prediction Forecasting Long short-term memory SimpleRNN Random forest Machine learning Digital currency
Acceso en línea:	http://hdl.handle.net/10361/17208

Descripción
Sumario:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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