Fix#121

[KEggensperger]

Provides an example script on how to use auto-sklearn with non-numerical data and adds that to the manual.

Fixes #274 and #121
(and additionally fixes two typos)

[codecov-io]

Codecov Report

Merging #282 into development will increase coverage by 0.06%.
The diff coverage is 100%.

@@               Coverage Diff               @@
##           development     #282      +/-   ##
===============================================
+ Coverage        74.57%   74.63%   +0.06%     
===============================================
  Files              126      126              
  Lines             9553     9553              
===============================================
+ Hits              7124     7130       +6     
+ Misses            2429     2423       -6

Impacted Files	Coverage Δ
autosklearn/estimators.py	92.25% <100%> (ø)	⬆️
...ipeline/components/classification/random_forest.py	95.29% <0%> (+1.17%)	⬆️
...osklearn/pipeline/components/classification/lda.py	94.54% <0%> (+1.81%)	⬆️
...osklearn/pipeline/components/classification/qda.py	95.55% <0%> (+2.22%)	⬆️
...peline/components/classification/multinomial_nb.py	92.1% <0%> (+3.94%)	⬆️

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