A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Dettagli Bibliografici
Autori principali:	Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Altri autori:	Chakrabarty, Amitabha
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Linear Discriminant Analysis (LDA) Logistic regression Random forest Decision tree KNN and CNN Machine learning. Computer algorithms.
Accesso online:	http://hdl.handle.net/10361/14745

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