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.

書誌詳細
主要な著者:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
その他の著者:	Chakrabarty, Amitabha
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2020
主題:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
オンライン･アクセス:	http://hdl.handle.net/10361/13779

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