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.

Bibliografiset tiedot
Päätekijät:	Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Muut tekijät:	Chakrabarty, Amitabha
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	Linear Discriminant Analysis (LDA) Logistic regression Random forest Decision tree KNN and CNN Machine learning. Computer algorithms.
Linkit:	http://hdl.handle.net/10361/14745

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