A machine learning approach to detect depression and anxiety using supervised learning

A machine learning approach to detect depression and anxiety using supervised learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Detaylı Bibliyografya
Asıl Yazarlar: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Diğer Yazarlar: Alam, Md. Ashraful
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: BRAC University 2019
Konular:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online Erişim:http://hdl.handle.net/10361/12274

Internet

http://hdl.handle.net/10361/12274

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