Hello! Today, we're diving into Polynomial Regression, an advanced form of regression analysis for modeling complex relationships between variables. We'll learn how to use Python and Scikit-Learn to perform polynomial regression. By the end, you'll know how to create polynomial features, train a model, and make predictions.

Polynomial regression is useful for capturing non-linear relationships. For instance, predicting exam scores (the target) based on study hours (the feature) might not follow a simple linear pattern. Polynomial regression can help in such cases.

Why do we need polynomial features? To fit a curve instead of a straight line, we create new features that include polynomial terms (like $x^2$, $x^3$). This helps in modeling more complex relationships.