First version of sklearn intro IPython Notebook
Removed lesson number
Added an outline

Also removed a cell
Print number of samples in the dataset
Use StandardScaler instead of scale

For simplicity just scale all of the dataset for
grid search.
see: https://github.com/swcarpentry/bc/pull/443#issuecomment-40677511
first set of changes to initial lesson
minor tweaks
Commiting first changes to lesson 01; only as far as plotting
deal with the plotting section
Optimize max_features instead of n_estimators

Useless to estimate n_estimators, the more the better!
Use a Pipeline to add feature scaling
turn off evaluation for 'help(apply') chunk
build first two lessons' md files
initial edits to loops - work in progress
initial edits to 02-func - work in progress
Merge branch 'rnovice' of github.com:gavinsimpson/bc into rnovice
Initial lesson about python string formatting using the format() method
Removed feature scaling, expanded acronym RMS

Feature scaling is not necessary for Decision Tree and Random Forests:
https://github.com/swcarpentry/bc/pull/443#issuecomment-41324381
first pass through; some major changes in terminology used in section on environments, stack frames etc.
eval = FALSE to stop help opening when building .md