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.

Dettagli Bibliografici
Autori principali: Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
Altri autori: Majumdar, Mahbub
Natura: Tesi
Lingua:en_US
Pubblicazione: Brac University 2021
Soggetti:
Machine Learning
Time Series
US Stock market
Stock Prediction
Gradient Boosting
Random Forest
Naive Bayes
AdaBoost
Logistic Regression
SVM
Feature reduction
Accesso online:http://hdl.handle.net/10361/14360
Descrizione
Riassunto:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

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