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Diabetes Disease Detection with XG-Boost and Neural Networks

Offered By: Coursera Project Network via Coursera

Tags

Machine Learning Courses Data Analysis Courses Neural Networks Courses Predictive Analytics Courses Predictive Modeling Courses

Course Description

Overview

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.

Syllabus

  • Project Overview
    • 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.

Taught by

Ryan Ahmed

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