Machine Learning for Kyphosis Disease Classification

About this course

The objective of this project is to predict whether a patient has kyphosis or not, based on given features and diagnostic measurements such as age and number of vertebrae. Kyphosis is an abnormally excessive convex curvature of the spine. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.

What you will learn

• Understand the theory and intuition behind decision trees and random forest classifier models
• Build, train and test a decision tree and random forest classifier models in Sklearn
• Perform data cleaning, feature engineering and visualization