ch_10

Chapter 10 Solutions

The end-of-chapter exercises focused on building and tuning machine learning models with scikit-learn. Each exercise has a corresponding solution notebook:

• exercise_1.ipynb: predicting star temperature with elastic net regression
• exercise_2.ipynb: multiclass classification of white wine quality with a support vector machine and feature union
• exercise_3.ipynb: multiclass classification of white wine quality with over-sampling and k-NN
• exercise_4.ipynb: testing if wine type helps predict wine quality
• exercise_5.ipynb: multiclass voting classifier to predict wine quality score