summary congratulationsyou just learned two important things of thesethe most important one is that as typical machine learning operatoryou will spend most of your time understanding and refining the data--exactly what we just did in our first tiny machine learning example and we hope that the example helped you to start switching your mental focus from algorithms to data lateryou learned how important it is to have the correct experiment setupand that it is vital to not mix up training and testing admittedlythe use of polynomial fitting is not the coolest thing in the machine learning world we have chosen it so as not to distract you with the coolness of some shiny algorithmwhich encompasses the two most important points we just summarized above solet' move to the next in which we will dive deep into scikits-learnthe marvelous machine learning toolkitgive an overview of different types of learningand show you the beauty of feature engineering