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.

Podrobná bibliografie
Hlavní autoři:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
Další autoři:	Chakrabarty, Amitabha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2020
Témata:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
On-line přístup:	http://hdl.handle.net/10361/13779

Popis
Shrnutí:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Podobné jednotky