Introduction

In this tutorial, we will use the USA Housing dataset to predict the prices of houses in Boston. To keep things simple for this tutorial we won't use Jupyter Notebooks. Instead, we write just simple Python code.

We will use the dataset to train some machine learning models. All processed data and all experiments will be tracked in ML Aide. We'll also store the trained models in ML Aide and read them later to predict new values.