A supervised machine learning approach to predict vulnerability to drug addiction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Detalhes bibliográficos
Main Authors:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Outros Autores:	Chakrabarty, Amitabha
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2020
Assuntos:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Acesso em linha:	http://hdl.handle.net/10361/13779

Descrição
Resumo:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

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