Machine Learning Bookcamp

2 Machine learning for regression

This chapter covers

• Creating a car-price prediction project with a linear regression model
• Doing an initial exploratory data analysis with Jupyter notebooks
• Setting up a validation framework
• Implementing the linear regression model from scratch
• Performing simple feature engineering for the model
• Keeping the model under control with regularization
• Using the model to predict car prices

In chapter 1, we talked about supervised machine learning, in which we teach machine learning models how to identify patterns in data by giving them examples.

Suppose that we have a dataset with descriptions of cars, like make, model, and age, and we would like to use machine learning to predict their prices. These characteristics ...