Stock market prediction using ensemble learning

Stock market prediction using ensemble learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detalhes bibliográficos
Principais autores: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Outros Autores: Majumdar, Mahbub
Formato: Tese
Idioma:en_US
Publicado em: Brac University 2021
Assuntos:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Acesso em linha:http://hdl.handle.net/10361/14360

Internet

http://hdl.handle.net/10361/14360

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