写给程序员的数据挖掘指南 代码
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2016-04-10
10:14:53
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程序员的数据挖掘指南-code.zip （49个子文件） 
程序员的数据挖掘指南-code ch4 
ch4-filteringdata.py 4KB normalizeColumnTemplate.py 4KB nearestNeighborClassifier.py 8KB testMedianAndASD.py 3KB classifyTemplate.py 5KB ch5 crossValidation.py 7KB nearestNeighborClassifier.py 8KB pimaKNN.py 8KB divide.py 1KB ch2 recommender.py 8KB filteringdataPearson.py 3KB filteringdata.py 3KB ch8 kmeansPlusPlus.py 8KB hierarchicalClustererTemplate.py 4KB hierarchicalClusterer.py 8KB kmeans.py 6KB ch6 naiveBayesDensityFunctionTrainingSolution.py 5KB naiveBayesDensityFunctionTraining.py 5KB naiveBayes.py 7KB naiveBayesDensityFunction copy.py 10KB naiveBayesDensityFunction.py 9KB data ch4 
athletesTestSet.txt 597B irisTestSet.data 909B mpgTrainingSet.txt 15KB mpgTestSet.txt 2KB athletesTrainingSet.txt 626B irisTrainingSet.data 4KB ch8 cereal.csv 3KB enrondata.txt 21KB mpg.txt 21KB dogs.csv 279B dogDistanceSorted.txt 5KB ch6 
iHealth.zip 2KB pima.zip 8KB mpgData.zip 10KB pimaSmall.zip 4KB house-votes.zip 3KB ch7 reviewPolarityBuckets.zip 3.96MB ch3 cosineSimilarity.py 14KB recommender3.py 13KB ch7 naiveBayesDensityFunctionTrainingSolution.py 5KB bayesSentiment.py 7KB bayesText-ClassifyTemplate.py 5KB naiveBayesDensityFunctionTraining.py 5KB naiveBayes.py 7KB bayesText.py 6KB naiveBayesDensityFunction copy.py 10KB naiveBayesDensityFunction.py 9KB README.md 113B资源评论
sanqima2016-04-27代码比较详细，值得一看。
jeanheo2017-12-03代码比较详细，值得一看。
cjred1632016-06-29谢谢分享 不错的资源
