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.

Podrobná bibliografie
Hlavní autoři: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Další autoři: Majumdar, Mahbub
Médium: Diplomová práce
Jazyk:en_US
Vydáno: Brac University 2021
Témata:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
On-line přístup:http://hdl.handle.net/10361/14360

Internet

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

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