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.

Dettagli Bibliografici
Autori principali:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Altri autori:	Majumdar, Mahbub
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Accesso online:	http://hdl.handle.net/10361/14360

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