Cryptocurrency price forecasting using Long Short-Term Memory (LSTM) with Twitter and Historical Data

Cryptocurrency price forecasting using Long Short-Term Memory (LSTM) with Twitter and Historical Data

Detalles Bibliográficos
Autor Principal: Malaki, Earl Timothy D.
Outros autores: Lao, Demelo M. (adviser.)
Formato: Thesis
Idioma:English
Publicado: 2019.