Diabetes Disease Detection with XG-Boost and Neural Networks

About this guided project

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.

What skills will you gain?

Data Science

Statistical Modeling

Predictive Analytics

Predictive Modeling

Machine Learning Methods

Artificial Neural Networks

Artificial Intelligence and Machine Learning (AI/ML)

Artificial Intelligence

Machine Learning

Deep Learning

Applied Machine Learning