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.

Bibliographische Detailangaben
Hauptverfasser:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Weitere Verfasser:	Majumdar, Mahbub
Format:	Abschlussarbeit
Sprache:	en_US
Veröffentlicht:	Brac University 2021
Schlagworte:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Online Zugang:	http://hdl.handle.net/10361/14360

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