├── .gitattributes ├── README.md ├── chapter1 ├── data.txt └── get_started_example.py ├── chapter2 ├── 2017-04-16.txt ├── baidu_voice_test.pcm ├── binary ├── cat.jpg ├── chapter2_code.py ├── csv_data.csv ├── demo.xlsx ├── fwf_data ├── load_data.npy ├── numpy_data.txt ├── order.xlsx ├── table_data.txt ├── text.txt ├── traffic_log_for_dataivy ├── tree.avi └── ua_data.txt ├── chapter3 ├── chapter3_code.py ├── data1.txt ├── data2.txt ├── data3.txt ├── data4.txt ├── data5.txt ├── data6.txt ├── data7.txt ├── j.png ├── sudoku.png ├── text.txt └── traffic_log_for_dataivy ├── chapter4 ├── AirPassengers.csv ├── apriori.py ├── article1.txt ├── association.txt ├── chapter4_code.py ├── classification.csv ├── cluster.txt ├── comment.txt ├── outlier.txt ├── regression.txt ├── time_series.txt └── wordcloud.jpg ├── chapter5 ├── chapter5_code1.py ├── chapter5_code2.py ├── order.xlsx ├── order_predict_result.xlsx └── sales.csv ├── chapter6 ├── abnormal_orders.txt ├── chapter6_code1.py ├── chapter6_code2.py └── new_abnormal_orders.csv ├── chapter7 ├── ad_performance.txt ├── advertising_data.csv ├── chapter7_code1.py └── chapter7_code2.py ├── chapter8 ├── article.txt ├── chapter8_code1.py ├── chapter8_code2.py ├── news_data.tar.gz └── test_sets.txt ├── 第三章 数据预处理经验——自己写 ├── 一，数据清洗 │ ├── 数据清洗——异常值处理 自己写.py │ ├── 数据清洗——缺失值处理 自己写.py │ └── 数据清洗——重复值处理 自己写.py ├── 三，数据降维 │ ├── data1.txt │ └── 数据降维.py ├── 二，将分类变量和顺序变量转换为标志变量 │ └── 标志变换.py ├── 六，数据抽样 │ ├── data2.txt │ ├── data3.txt │ ├── data4.txt │ └── 数据抽样.py └── 四，样本不均衡 │ ├── data2.txt │ └── 样本不均衡.py ├── 第六章 数据商品数据化运营案例一 ├── products_sales.txt └── 案例一销售预测.py └── 第四章 数据挖掘与分析——自己写 ├── 一，聚类分析——自己写 ├── 1.py ├── cluster.txt └── 一，聚类分析.py └── 二，回归分析 ├── 1.py ├── 2.py ├── 3.py ├── regression.txt └── 回归分析.py /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HDYNGS/-Python-data-analysis-and-data-operation/HEAD/.gitattributes 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