RFCT simplified code
Merge branch 'master' of https://github.com/luispedro/BuildingMachineLearningSystemsWithPython
Fix annoying typo that confused the readers
Reworked for 2nd edition
Renamed mlcomp to 20news
Adding noise analysis
MIN Do not output iris dataset
MIN Name download script like in other chapters
Code cleanup
ENH Use sklearn for KNN & cross-validation

This is the same processes that are written "by hand" before, but now
using sklearn (this is the end of the chapter).
ENH Complete image dataset

The dataset was not balanced as some images had been rejected without
replacement in the previous version.

Now it contains 30 images of each of the 3 classes.
ENH Demonstrate feature prescaling

This is in the book and it improves the results.

Also, it serves to demonstrate Pipeline.
ENH Plot accuracy as function of KNN parameter
DOC Better structure. Better documentation
ENH Use jug to improve on ch10 script
ENH Build word cloud. More comments
ENH Write to a file, not stdout
MIN Preprocess Wikipedia data
ENH Use sklearn instead of raw numpy for LR

This is a better interface and fits better with the spirit of the book.
ENH Use sklearn for figure 1