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.

Opis bibliograficzny
Główni autorzy:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Kolejni autorzy:	Chakrabarty, Amitabha
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2020
Hasła przedmiotowe:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Dostęp online:	http://hdl.handle.net/10361/13779

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