In this lesson, we'll learn how to train a linear regression model. Linear regression helps predict values based on data. Imagine you have house areas and prices and want to predict the price of a house with an unknown area. That's where linear regression helps.

By the end of this lesson, you will understand linear regression, how to generate and handle synthetic data, and how to use Scikit-Learn to train a linear regression model. You'll also learn to interpret the model's output.

Linear regression models the relationship between two variables by fitting a linear equation to the data. One variable is the explanatory variable, often called "feature" and denoted by $X$ and the other is the dependent variable, often called "target" and denoted by $y$.

The linear regression formula is:

$y = kX + b$