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.

Bibliografske podrobnosti
Main Authors:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Drugi avtorji:	Majumdar, Mahbub
Format:	Thesis
Jezik:	en_US
Izdano:	Brac University 2021
Teme:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
Online dostop:	http://hdl.handle.net/10361/14360

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