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.

Bibliografski detalji
Glavni autori: Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Daljnji autori: Chakrabarty, Amitabha
Format: Disertacija
Jezik:English
Izdano: Brac University 2020
Teme:
Primary data
mRMR
Deep beilief nerwork
Reliability
Vulnerability to addiction
Neural network
Random forest
Neural networks (Computer science)
Machine learning
Online pristup:http://hdl.handle.net/10361/13779
Opis
Sažetak:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

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