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.

Bibliografiske detaljer
Main Authors: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Andre forfattere: Alam, Md. Ashraful
Format: Thesis
Sprog:English
Udgivet: BRAC University 2019
Fag:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online adgang:http://hdl.handle.net/10361/12274

Internet

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

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