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.

Bibliografische gegevens
Hoofdauteurs:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Andere auteurs:	Chakrabarty, Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2020
Onderwerpen:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
Online toegang:	http://hdl.handle.net/10361/13779

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