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.

Detalhes bibliográficos
Principais autores: Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Outros Autores: Chakrabarty, Amitabha
Formato: Tese
Idioma:English
Publicado em: Brac University 2020
Assuntos:
Primary data
mRMR
Deep beilief nerwork
Reliability
Vulnerability to addiction
Neural network
Random forest
Neural networks (Computer science)
Machine learning
Acesso em linha:http://hdl.handle.net/10361/13779

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