A machine learning approach to predict young voter enthusiasm based on non-political factors

A machine learning approach to predict young voter enthusiasm based on non-political factors

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:	Rahman, Md. Nowroz Junaed, Pantho, Md. Humaun Kabir, Fuad, Nafis
Altri autori:	Majumdar, Mahbubul Alam
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Machine Learning Voting Young Voter Turnout Random Forest Support Vector Machine XGBoost Naive Bayes Non-political
Accesso online:	http://hdl.handle.net/10361/14463

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