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.

Bibliographic Details
Main Authors: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Other Authors: Alam, Md. Ashraful
Format: Thesis
Language:English
Published: BRAC University 2019
Subjects:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online Access:http://hdl.handle.net/10361/12274

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