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.

Bibliografische gegevens
Hoofdauteurs: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Andere auteurs: Alam, Md. Ashraful
Formaat: Thesis
Taal:English
Gepubliceerd in: BRAC University 2019
Onderwerpen:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online toegang:http://hdl.handle.net/10361/12274

Internet

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

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