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.

Opis bibliograficzny
Główni autorzy:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Kolejni autorzy:	Majumdar, Mahbub
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2021
Hasła przedmiotowe:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Dostęp online:	http://hdl.handle.net/10361/14360

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