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.

Bibliografski detalji
Glavni autori: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Daljnji autori: Alam, Md. Ashraful
Format: Disertacija
Jezik:English
Izdano: BRAC University 2019
Teme:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online pristup:http://hdl.handle.net/10361/12274

Internet

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

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