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

Beskrivning
Sammanfattning:	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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