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chapter12

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
1_1_1type_counts.xlsx
1_1_1type_counts.xlsx
 
 
1_1_2type_counts_per.xlsx
1_1_2type_counts_per.xlsx
 
 
1_1_3type107.xlsx
1_1_3type107.xlsx
 
 
1_1_4questiontype.xlsx
1_1_4questiontype.xlsx
 
 
1_1_5page199.xlsx
1_1_5page199.xlsx
 
 
1_1_6xiaguang.xlsx
1_1_6xiaguang.xlsx
 
 
1_1pagetypeAnalysis.ipynb
1_1pagetypeAnalysis.ipynb
 
 
1_1pagetypeAnalysis.py
1_1pagetypeAnalysis.py
 
 
1_2_1clickTimes.xlsx
1_2_1clickTimes.xlsx
 
 
1_2_2lookTimes.csv
1_2_2lookTimes.csv
 
 
1_2_2typeID.xlsx
1_2_2typeID.xlsx
 
 
1_2_3lookMorethan100.xlsx
1_2_3lookMorethan100.xlsx
 
 
1_2clicktimesAnalysis.ipynb
1_2clicktimesAnalysis.ipynb
 
 
1_2clicktimesAnalysis.py
1_2clicktimesAnalysis.py
 
 
1_3_1flipPageResult.xlsx
1_3_1flipPageResult.xlsx
 
 
1_3pagerankAnalysis.ipynb
1_3pagerankAnalysis.ipynb
 
 
1_3pagerankAnalysis.py
1_3pagerankAnalysis.py
 
 
2_1dataClean.ipynb
2_1dataClean.ipynb
 
 
2_1dataClean.py
2_1dataClean.py
 
 
2_2_1Type2nums.xlsx
2_2_1Type2nums.xlsx
 
 
2_2_2Type3nums.xlsx
2_2_2Type3nums.xlsx
 
 
2_2dataChange.ipynb
2_2dataChange.ipynb
 
 
2_2dataChange.py
2_2dataChange.py
 
 
2_3attriSpecify.ipynb
2_3attriSpecify.ipynb
 
 
2_3attriSpecify.py
2_3attriSpecify.py
 
 
3_1_1zero_one.csv
3_1_1zero_one.csv
 
 
3_1_2similarityMatrix.csv
3_1_2similarityMatrix.csv
 
 
3_1_3recommedresult.csv
3_1_3recommedresult.csv
 
 
3_1_4xietong_result.csv
3_1_4xietong_result.csv
 
 
3_1_6popular_result.csv
3_1_6popular_result.csv
 
 
3_1buildModel.ipynb
3_1buildModel.ipynb
 
 
3_1buildModel.py
3_1buildModel.py
 
 
3_2_10-fold cross-validation.ipynb
3_2_10-fold cross-validation.ipynb
 
 
3_2_10-fold_cross-validation.py
3_2_10-fold_cross-validation.py
 
 
PythonToMysqldb.ipynb
PythonToMysqldb.ipynb
 
 
README.md
README.md
 
 
Type3nums.xlsx
Type3nums.xlsx
 
 
lookTimes.xlsx
lookTimes.xlsx
 
 
random_result.csv
random_result.csv
 
 

README.md

此代码是《Python数据分析与挖掘实战》的实战部分的第十二章的完整代码

《电子商务网站用户行为分析及服务推荐》 在原书中给出的内容中我另外补充的代码如下： 1）【】原书中所分析的内容中缺少的代码我都已经实现了 2）【】实现了协同过滤推荐结果展示； 3）【】实现了按照流行度推荐以及随机推荐； **备注：原书中的数据保存在test.sql文件中，该文件地址请见链接：https://pan.baidu.com/s/1kWRsxsb 密码：a14f