If possible, use some of your own data for this book, but in the event you cannot, we'll learn how we can use scikit-learn to create toy data. scikit-learn's pseudo, theoretically constructed data is very interesting in its own right.
Creating sample data for toy analysis
Getting ready
Very similar to getting built-in datasets, fetching new datasets, and creating sample datasets, the functions that are used follow the naming convention make_*. Just to be clear, this data is purely artificial:
from sklearn import datasets
datasets.make_*?
datasets.make_biclusters
datasets.make_blobs
datasets.make_checkerboard
datasets.make_circles
datasets.make_classification
...
To save typing, import the datasets module as d, and numpy...
