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.

Opis bibliograficzny
Główni autorzy: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Kolejni autorzy: Alam, Md. Ashraful
Format: Praca dyplomowa
Język:English
Wydane: BRAC University 2019
Hasła przedmiotowe:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Dostęp online:http://hdl.handle.net/10361/12274

Internet

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

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