Having covered the five fundamental classes of machine learning in the previous lessons, now focus on a risk common to all: overfitting. This is the tendency to model training data too well, which can harm the performance on the test data. Practice avoiding this problem using the diabetes dataset from lecture 3. Hear tips on telling the difference between real signals and spurious associations.