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.

Détails bibliographiques
Auteurs principaux: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Autres auteurs: Chakrabarty, Amitabha
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
Accès en ligne:http://hdl.handle.net/10361/14745

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