Exercise - Train and evaluate a regression model

Supervised machine learning techniques involve training a model to operate on a set of features and predict a label using a dataset that includes some already-known label values. The training process fits the features to the known labels to define a general function that can be applied to new features for which the labels are unknown, and predict them. You can think of this function like this, in which y represents the label we want to predict and x represents the features the model uses to predict it.

In this exercise you will learn how to Train and evaluate a regression model.

This exercise requires the Microsoft Learn sandbox to complete. You can access the exercise from the link below.

Exercise Link

Exercise - Train and evaluate a regression model