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.

书目详细资料
Main Authors: Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
其他作者: Chakrabarty, Amitabha
格式: Thesis
语言:English
出版: Brac University 2020
主题:
Primary data
mRMR
Deep beilief nerwork
Reliability
Vulnerability to addiction
Neural network
Random forest
Neural networks (Computer science)
Machine learning
在线阅读:http://hdl.handle.net/10361/13779

因特网

http://hdl.handle.net/10361/13779

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