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.

Dades bibliogràfiques
Autors principals:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Altres autors:	Majumdar, Mahbub
Format:	Thesis
Idioma:	en_US
Publicat:	Brac University 2021
Matèries:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Accés en línia:	http://hdl.handle.net/10361/14360

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