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.

Библиографические подробности
Главные авторы:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Другие авторы:	Chakrabarty, Amitabha
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2020
Предметы:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Online-ссылка:	http://hdl.handle.net/10361/13779

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