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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rabbani, Rakin Bin, Amin, B. M. Fahad-ul, Khan, Sumaiya Tanjil, Mahbub, Farjiya Benta
مؤلفون آخرون:	Majumdar, Mahbub
التنسيق:	أطروحة
اللغة:	en_US
منشور في:	Brac University 2021
الموضوعات:	Machine Learning Time Series US Stock market Stock Prediction Gradient Boosting Random Forest Naive Bayes AdaBoost Logistic Regression SVM Feature reduction
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/14360

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