The end-of-chapter exercises focused on building machine learning models with scikit-learn. Each exercise has a corresponding solution notebook:
exercise_1.ipynb: clustering by wine colorexercise_2.ipynb: predicting star temperatureexercise_3.ipynb: predicting whether a planet has a shorter year than Earthexercise_4.ipynb: multiclass classification of white wine qualityexercise_5.ipynb: predicting red wine quality with a support vector machine