Part 3: Practical Examples and Applications

In this section, you'll work on examples of real-world problems and use all that you have looked at so far to build a more flexible model pipeline. You'll see how you can evaluate it for accuracy and bias, as well as being able to determine whether it's solving the problem at hand.

This section includes the following chapters:

• Chapter 9, Building a Regression Model with scikit-learn
• Chapter 10, Explainable AI – Using LIME and SHAP
• Chapter 11, Tuning Hyperparameters and Versioning Your Model