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.

Bibliografiska uppgifter
Huvudupphovsmän: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Övriga upphovsmän: Majumdar, Mahbub
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: Brac University 2021
Ämnen:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Länkar:http://hdl.handle.net/10361/14360

Internet

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

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