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.

Bibliografische gegevens
Hoofdauteurs:	Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Andere auteurs:	Chakrabarty, Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Linear Discriminant Analysis (LDA) Logistic regression Random forest Decision tree KNN and CNN Machine learning. Computer algorithms.
Online toegang:	http://hdl.handle.net/10361/14745

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