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.

Detalles Bibliográficos
Autores principales: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Otros Autores: Majumdar, Mahbub
Formato: Tesis
Lenguaje:en_US
Publicado: Brac University 2021
Materias:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Acceso en línea:http://hdl.handle.net/10361/14360

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