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.

Bibliografiset tiedot
Päätekijät: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Muut tekijät: Alam, Md. Ashraful
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: BRAC University 2019
Aiheet:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Linkit:http://hdl.handle.net/10361/12274

Internet

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

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