Diabetes Disease Detection with XG-Boost and Neural Networks
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...
By Ryan Ahmed on Coursera
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.
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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.
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