Machine Learning for Kyphosis Disease Classification

Complete this Guided Project in under 2 hours. The objective of this project is to predict whether a patient has kyphosis or not, based on given features ...

• 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