Using this chapter’s housing dataset:【房价链接失效，没法跑】
1. Try a Support Vector Machine regressor (sklearn.svm.SVR), with various hyperparameters such as kernel="linear" (with various values for the C hyperparameter) or kernel="rbf" (with various values for the C and gamma hyperparameters). Don’t worry about what these hyperparameters mean for now.
How does the best SVR predictor perform?
2. Try replacing GridSearchCV with RandomizedSearchCV.
3. Try adding a transformer in the preparation pipeline to select only the most
important attributes.
4. Try creating a single pipeline that does the full data preparation plus the final
prediction.
5. Automatically explore some preparation options using GridSearchCV.
