A supervised machine learning approach to predict vulnerability to drug addiction

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.

Dades bibliogràfiques
Autors principals:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Altres autors:	Chakrabarty, Amitabha
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2020
Matèries:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Accés en línia:	http://hdl.handle.net/10361/13779

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