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.

Bibliografski detalji
Glavni autori: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Daljnji autori: Majumdar, Mahbub
Format: Disertacija
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 pristup:http://hdl.handle.net/10361/14360

Internet

http://hdl.handle.net/10361/14360

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