Diabetes Disease Detection with XG-Boost and Neural Networks
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Diabetes Disease Detection with XG-Boost and Neural Networks

Highlights

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.

About the Course Provider

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

Course by

  • self
    Self paced
  • dueration
    Duration 2 hours
  • domain
    Domain Personal Development
  • subs
    Monthly Subscription Option not available
  • fee
    Buy Now Free
  • language
    Language English