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.

Détails bibliographiques
Auteurs principaux: Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Autres auteurs: Chakrabarty, Amitabha
Format: Thèse
Langue:English
Publié: Brac University 2020
Sujets:
Primary data
mRMR
Deep beilief nerwork
Reliability
Vulnerability to addiction
Neural network
Random forest
Neural networks (Computer science)
Machine learning
Accès en ligne:http://hdl.handle.net/10361/13779

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