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.

Detalles Bibliográficos
Autores principales:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Otros Autores:	Chakrabarty, Amitabha
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2020
Materias:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Acceso en línea:	http://hdl.handle.net/10361/13779

Descripción
Sumario:	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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