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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
مؤلفون آخرون: Chakrabarty, Amitabha
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/14745

مواد مشابهة

مواد مشابهة