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.

Bibliographic Details
Main Authors: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Other Authors: Majumdar, Mahbub
Format: Thesis
Language:en_US
Published: Brac University 2021
Subjects:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Online Access:http://hdl.handle.net/10361/14360

Internet

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

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