Diabetes Disease Detection with XG-Boost and Neural Networks
By Coursera
on Coursera
· Data Science
About This Course
In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.
Instructor
Ryan Ahmed
Frequently Asked Questions
How much does Diabetes Disease Detection with XG-Boost and Neural Networks cost?
Visit the Diabetes Disease Detection with XG-Boost and Neural Networks course page for current pricing and available discounts.
Who teaches Diabetes Disease Detection with XG-Boost and Neural Networks?
Diabetes Disease Detection with XG-Boost and Neural Networks is taught by Ryan Ahmed, Coursera.
What skill level is Diabetes Disease Detection with XG-Boost and Neural Networks for?
This course is designed for all levels learners.