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.

Bibliographische Detailangaben
Hauptverfasser: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: BRAC University 2019
Schlagworte:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online Zugang:http://hdl.handle.net/10361/12274

Online

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

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