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.

Détails bibliographiques
Auteurs principaux:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Autres auteurs:	Majumdar, Mahbub
Format:	Thèse
Langue:	en_US
Publié:	Brac University 2021
Sujets:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Accès en ligne:	http://hdl.handle.net/10361/14360

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