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.

Bibliografske podrobnosti
Main Authors: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Drugi avtorji: Alam, Md. Ashraful
Format: Thesis
Jezik:English
Izdano: BRAC University 2019
Teme:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online dostop:http://hdl.handle.net/10361/12274

Internet

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

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