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.

Detaylı Bibliyografya
Asıl Yazarlar:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Diğer Yazarlar:	Chakrabarty, Amitabha
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2020
Konular:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Online Erişim:	http://hdl.handle.net/10361/13779

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