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.

Бібліографічні деталі
Автори: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Інші автори: Majumdar, Mahbub
Формат: Дисертація
Мова:en_US
Опубліковано: Brac University 2021
Предмети:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Онлайн доступ:http://hdl.handle.net/10361/14360

Інтернет

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

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