Tutorial: Supervised machine learning

This tutorial will walk you through a simplified supervised machine learning project in Foundry and will cover the following steps:

1. Set up a machine learning project in Foundry

2. Train a model in Jupyter® notebooks or Code Repositories

   2a. Train a model in Model Studio

   2b. Train a model in a Jupyter® notebook

   2c. Train a model in Code Repositories

3. Evaluate the performance of your models

4. Productionize a model

In this tutorial, we solve a hypothetical task of building a machine learning model to predict the average housing prices across American census districts. Our hypothetical company has access to regularly updating census district-level data that does not contain the average housing prices. We want to create a model that will provide an accurate prediction of house prices for our finance team.

To get started, start by learning to set up your project for machine learning.

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