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.

Detalles Bibliográficos
Main Authors: Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Outros autores: Chakrabarty, Amitabha
Formato: Thesis
Idioma:English
Publicado: Brac University 2020
Subjects:
Primary data
mRMR
Deep beilief nerwork
Reliability
Vulnerability to addiction
Neural network
Random forest
Neural networks (Computer science)
Machine learning
Acceso en liña:http://hdl.handle.net/10361/13779

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