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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Άλλοι συγγραφείς:	Majumdar, Mahbub
Μορφή:	Thesis
Γλώσσα:	en_US
Έκδοση:	Brac University 2021
Θέματα:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Διαθέσιμο Online:	http://hdl.handle.net/10361/14360

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