We'll make the exercise fairly straightforward for the end of this chapter—this will ensure that these techniques sink in prior to continuing with the recipes in this book:

1. Select a dataset from the UCI repository and prepare it for a learning task by reading the data in, analyzing the distribution, and saving it to a npy formatted array for later usage.
2. Add a different form of image augmentation to the augmentation recipe in this chapter.