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.

Bibliografische gegevens
Hoofdauteurs: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Andere auteurs: Majumdar, Mahbub
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2021
Onderwerpen:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Online toegang:http://hdl.handle.net/10361/14360

Internet

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

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