Diabetes Disease Detection with XG-Boost and Neural Networks provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Diabetes Disease Detection with XG-Boost and Neural Networks is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
2 hours worth of material
In progress
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.
