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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Faisal, Fahim, Shahriar, Arif, Mahmud, Sohan Uddin, Shuvo, Rakibul Alam
مؤلفون آخرون:	Chakrabarty, Amitabha
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2020
الموضوعات:	Primary data mRMR Deep beilief nerwork Reliability Vulnerability to addiction Neural network Random forest Neural networks (Computer science) Machine learning
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/13779

مواد مشابهة

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