GitHub - mattspitz/sluggerml: Online and offline machine learning on baseball statistics used as an example in PyCon 2012 talk.

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Online and offline machine learning on baseball statistics used as an example in PyCon 2012 talk.

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Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
serve		serve
www		www
.gitignore		.gitignore
01readlahmanplayerstats.py		01readlahmanplayerstats.py
02parsegamelogs.py		02parsegamelogs.py
03maketrainingdata.py		03maketrainingdata.py
04featuresetsperyear.py		04featuresetsperyear.py
05featureselection.py		05featureselection.py
06buildhistogram.py		06buildhistogram.py
07trainbayesclassifier.py		07trainbayesclassifier.py
08buildcharts.py		08buildcharts.py
README		README
TODO		TODO
common.py		common.py
wsgi.py		wsgi.py

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SluggerML- baseball stats!

Using datasets from retrosheet.org and seanlahman.com/baseball-archive/statistics.

Depends on scikit-learn and python-nltk (and reportlab if you're building reports).

On Debian, requires the following to build the aforementioned:
python-dev
python-numpy
python-scipy