├── .gitattributes ├── README.md ├── coursera_deeplearning └── 第一课第二周编程作业 │ ├── assignment2_1.ipynb │ ├── assignment2_2.ipynb │ └── lr_utils.py ├── image ├── 1.png ├── 2.png └── 3.png ├── kaggle手写数字识别 ├── .idea │ ├── misc.xml │ ├── modules.xml │ ├── workspace.xml │ └── xgb_learn.iml ├── .ipynb_checkpoints │ └── xgboost_model_reload-checkpoint.ipynb ├── image │ ├── kaggle手写数字比赛.png │ ├── kaggle排名及得分.png │ ├── xgb_importance.png │ ├── xgb_tree.png │ └── 迭代次数及时间.png ├── model │ ├── dump.raw.txt │ └── 迭代次数及时间.png ├── submission_xgb_MultiSoftmax.csv ├── xgb_diginum.py └── xgboost_model_reload.ipynb ├── matplot_test.ipynb ├── numpy ├── np_test.py ├── np_test2.py ├── test.py └── 线下门店服务器安装部署手册.docx - 快捷方式.lnk ├── tensorflow ├── index.py ├── test2.py └── test3.py ├── tf衣服图片识别率提升 ├── CNN_digit.py ├── README.md ├── Text_classifier_v1.py └── Text_classifier_v2.py ├── 泰坦尼克生存预测案例 ├── Titanic.ipynb ├── test.csv └── train.csv ├── 蝴蝶花(iris)分类案例 ├── Iris.ipynb ├── Iris.py ├── Iris3.ipynb ├── IrisFishData.csv ├── Iris_clean.csv ├── iris2.ipynb └── iris2.py ├── 讯飞CTR预测 ├── DC讯飞比赛(EDA & Baseline ).html ├── RXY初版 │ ├── check_column.ipynb │ ├── feature_extract.ipynb │ ├── feature_extract_test.ipynb │ ├── feature_re_extract.ipynb │ ├── lambda_test.ipynb │ └── pandas_test.ipynb ├── digi_onehot.py ├── one_hot_test.py ├── 川哥版 │ ├── _1_extract_features.py │ ├── _2_train.py │ └── utils.py └── 鱼神大佬 │ └── kdxf_baseline.py └── 阿里天池o2o新人赛 ├── o2o_wepe_zhen.ipynb ├── wepe_o2o.ipynb └── xgb.py /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/naginoa/Data-mining/HEAD/.gitattributes -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/naginoa/Data-mining/HEAD/README.md -------------------------------------------------------------------------------- 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