Diabetes Disease Detection with XG-Boost and Neural Networks
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.Created by: Coursera Project Network
Related Online Courses
Producing music is an incredibly creative process, and knowing the tools of the trade is essential in order to transmit the musical ideas in your head into the DAW in a creative and uninhibited... more
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.Created... more
Today, OLAY is committed to advancing STEM fields and Skin Care education. This Cosmetic Science course is designed to educate and upskill on skin care fundamentals to and help more people enter... more
This Specialization is intended for individuals and organizations interested in developing skills and strategies to create and support sustainable cities. Through these four courses, you will gain... more
Embark on a dynamic learning journey through this course. In the first module, explore the intricacies of Persistent Memory (PMEM), unraveling its fundamental concepts, characteristics, and... more
Powered by
