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BuildingMachineLearningSystemsWithPython
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Commits on Mar 28, 2015
BLD Update gitignore files
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ENH Add chapter.py files
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Commits on Mar 25, 2015
ENH Average methods (instead of stacked learning)
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Commits on Mar 20, 2015
DOC Add note on randomness
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RFCT Simpler code
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ENH More readable code
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Commits on Feb 14, 2015
MIN Better filename for output
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Commits on Feb 12, 2015
ENH Improve code readability
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Commits on Feb 9, 2015
MIN Add axis= for explicitness
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Commits on Nov 8, 2014
MIN Add explanatory comment
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Commits on Nov 3, 2014
ENH Add association rule code
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ENH Improve Apriori code examples
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Commits on Nov 2, 2014
ENH Simplify & document code
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Commits on Oct 31, 2014
DOC Describe Apriori files
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ENH Comment code. Use namedtuple for readability
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ENH Update URL & make curl call follow redirects
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Commits on Oct 30, 2014
MIN Remove unused import
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MIN Remove unnecessary print statement
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Commits on Oct 29, 2014
ENH Take sqrt for stddev
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Commits on Oct 24, 2014
MIN Describe different scripts in README
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DOC Start a README file
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ENH Stacked learning for combining methods
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RFCT Do not filter matrix
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RFCT Remove flawed stacking code
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Commits on Oct 23, 2014
ENH Set random seed to ensure consistency
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Commits on Oct 21, 2014
MIN Simple explanatory comments
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Commits on Oct 17, 2014
RFCT Split prediction from evaluation
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RFCT Simplify user regression code
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RFCT Cleaner neighbor correlation code
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RFCT Simplify sampling code
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Commits on Oct 13, 2014
ENH Partition matrix into train/test
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Commits on Oct 12, 2014
RFCT Use scipy instead of rolling our own
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Commits on Oct 10, 2014
ENH Download recommendation data in chapter 8
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Commits on Sep 28, 2014
DOC Update documentation to match code
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Commits on Aug 24, 2014
MIN Fix spelling error on variable name
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