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.

Podrobná bibliografie
Hlavní autoři:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Další autoři:	Majumdar, Mahbub
Médium:	Diplomová práce
Jazyk:	en_US
Vydáno:	Brac University 2021
Témata:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
On-line přístup:	http://hdl.handle.net/10361/14360

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