Fundamentals of Machine Learning - Linear Regression - Labs

The video tutorial covers linear regression using the auto MPG dataset. It explains how to prepare the data, build a simple linear regression model using horsepower, and evaluate the model's performance. The tutorial also demonstrates data visualization techniques to understand the model's predictions and the relationship between variables.

How does the text suggest visualizing the relationship between features and the target variable?

Describe the process of normalizing data as mentioned in the text.

What is the final step mentioned in the text for building the linear regression model?

What is the significance of the mean absolute error in the context of model evaluation?