Diabetes Disease Detection with XG-Boost and Neural Networks

Offered By
In this Guided Project, you will:
2 hours
Beginner
No download needed
Split-screen video
English
Desktop only

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.

Skills you will develop

  • Artificial Neural Network

  • Python Programming

  • Machine Learning

  • Deep Learning

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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