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.

Библиографические подробности
Главные авторы:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Другие авторы:	Majumdar, Mahbub
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2021
Предметы:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Online-ссылка:	http://hdl.handle.net/10361/14360

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