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.

Bibliographic Details
Main Authors: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Other Authors: Chakrabarty, Amitabha
Format: Thesis
Language:English
Published: Brac University 2021
Subjects:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
Online Access:http://hdl.handle.net/10361/14745

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