Welcome to the third chapter in this course! Assuming you have finished the first two chapters, including the Titanic lesson, you should have some confidence in loading and visualizing data and training scikit-learn's models. However, you have already seen some words that didn't make a lot of sense, including "f1 score" and "overfitting".
What you will learn, among other things, are:
After this chapter, you will have a rough understanding of bias, overfitting and estimator selection. You should be able to select and compare fitting estimators (algorithms) for any classification or regression problem you might face.