Python-Data-Analysis-master/.gitattributes
271B
Python-Data-Analysis-master/readme.md
203B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/2_1.py
2.95KB
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/2_2.py
1.34KB
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/2_3.py
2.08KB
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/2_4.py
3.99KB
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/2_5.py
919B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/__init__.py
-
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/data/iris_sepal_length.csv
600B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/test/3.1.py
333B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/test/__init__.py
-
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/tmp/arr.txt
52B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/tmp/savez_arr.npz
570B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/tmp/save_arr.npy
528B
Python-Data-Analysis-master/A_chapter2-Numpy数值计算基础/tmp/__init__.py
-
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3.1_pyplot.py
13.7KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3.2_line.py
1.87KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3.2_scatter.py
1.63KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_2_3.py
3.25KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_3.histogram.py
1.73KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_3_4.py
4.17KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_test_1.py
1.52KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_test_2.py
1.68KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/3_test_xiti.py
811B
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/__init__.py
-
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/data/iris.npz
6.47KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/data/populations.npz
2.26KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/data/国民经济核算季度数据.npz
11.15KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/1996——2015人口关系数据特征散点图与折线图.png
102.6KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/1996——2015人口关系数据特征散点图与折线图与饼图.png
183.08KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017各产业国民生产总值箱线图.png
21.31KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年各产业季度生产总值散点图.png
55.12KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度各产业生产总值折线图.png
74.23KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度各产业生产总值折线散点图.png
74.23KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度各行业生产总值折线子图.png
120.55KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度各行业生产总值散点子图.png
126.94KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度生产总值折线图.png
51.82KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度生产总值散点图.png
42.67KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2000-2017年季度生产总值点线图.png
53.04KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2017年第一季度各产业国民生产总值直方图.png
20.26KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/2017年第一季度各产业生产总值占比饼图.png
27.98KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/sincos.png
38.65KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/y=x^2.png
26.12KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/__init__.py
-
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/修改rc参数后sin曲线.png
26.45KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/国民生产总值分散情况箱线图.png
59.51KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/国民生产总值构成分布直方图.png
77.92KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/国民生产总值构成分布饼图.png
141.13KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/无法显示中文标题sin曲线.png
26.55KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/显示中文标题sin曲线.png
26.83KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/鸢尾花特征散点图.png
209.48KB
Python-Data-Analysis-master/A_chapter3-Matplotlib数据可视化基础/tmp/默认sin曲线.png
27.64KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.1.1_mysql.py
1.27KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.1.2_read_csv.py
1.45KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.1.4_read_sql.py
1.03KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.2.1-dataframe.py
4.51KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.2.4_test_pd.py
2.03KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.3.1_test_pd2.py
3.44KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.4.1_groupby.py
3.09KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.5.1_pivot_table.py
2.35KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4.5.2__crosstab.py
1.3KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4_test_1.py
837B
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4_test_2.py
1.02KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4_test_3.py
1.01KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4_test_4.py
617B
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/4_xiti.py
573B
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/__init__.py
-
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/meal_order_detail.xlsx
896.6KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/meal_order_detail1.sql
563.37KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/meal_order_detail2.sql
743.42KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/meal_order_detail3.sql
735.5KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/meal_order_info.csv
111.94KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/users.xlsx
132.63KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/数据特征说明.xlsx
13.09KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/test_data/mtcars.csv
1.74KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/test_data/Training_LogInfo.csv
18.08MB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/test_data/Training_Master.csv
19.35MB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/test_data/Training_Userupdate.csv
14.61MB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/data/test_data/数据特征说明.xlsx
10.82KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/tmp/orderInfo.csv
96.08KB
Python-Data-Analysis-master/A_chapter4-Pandas统计分析基础/tmp/userInfo.xlsx
123.35KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5.1.py
4.56KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5.2_clean_data.py
6.87KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5.3_standard_data.py
1.9KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5.4_transform_data.py
1.65KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5_test_1.py
740B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5_test_2.py
509B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5_test_3.py
577B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/5_xiti.py
1.07KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/__init__.py
-
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/detail.csv
830.04KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/meal_order_detail1.sql
565.69KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/meal_order_detail2.sql
743.42KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/meal_order_detail3.sql
735.5KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/meal_order_info.csv
111.94KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/users_info.xlsx
86.97KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/数据特征说明.xlsx
13.1KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/alarm.csv
783B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/ele_loss.csv
1.75KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/missing_data.csv
472B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/model.csv
2.64KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/new_missing_data.csv
709B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/tmpsales.csv
709B
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/data/test/数据特征说明.xlsx
9.35KB
Python-Data-Analysis-master/A_chapter5-使用Pandas进行数据预处理/tmp/菜品异常数据识别.png
9.08KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6.1_datasets.py
4.8KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6.3_sklearn_SVM.py
6.58KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6_2_K-Means.py
3.54KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6_4_sklearn_Linear_Regresion.py
3.36KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6_test_1.py
5.21KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/6_xiti.py
1.11KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/__init__.py
-
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/abalone.data
187.46KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/cal_housing.data
1.98MB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/seeds_dataset.txt
9.17KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/test/wine.csv
10.7KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/test/winequality.csv
82.23KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/data/test/数据特征说明.xlsx
10.85KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/tmp/test3_wine_FMI评价折线图.png
29.33KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/tmp/wine_quality_target线性回归预测.png
123.22KB
Python-Data-Analysis-master/A_chapter6-使用Scikit-Learn构建模型/tmp/聚类结果.png
20.23KB
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/7_1_LRFMC.py
1.54KB
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/7_3_kmeans_LRFMC.py
494B
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/7_test.py
2.01KB
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/7_xiti.py
940B
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/__init__.py
-
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/data/air_data.csv
13.21MB
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/data/test/credit_card.csv
4.19MB
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/data/test/data.csv
381B
Python-Data-Analysis-master/A_chapter7-航空公司客户价值分析/tmp/airline_scale.npz
2.84MB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/__init__.py
-
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/8.1_Lasso.py
2.25KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/8_4_LinearSVR.py
1.88KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/8_test_1.1.py
1.46KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/8_test_1.py
2.04KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/GM11.py
749B
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/code/__pycache__/GM11.cpython-37.pyc
1.09KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/data/data.csv
2.02KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/data/test/income_tax.csv
1.11KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/data/test/income_tax_Lasso.csv
1.02KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/data/test/income_tax_test.xls
5.5KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/data/test/income_tax_test_LinearSVR.xls
5.5KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/tmp/new_reg_data.csv
1.29KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/tmp/new_reg_data_GM11.xls
5.5KB
Python-Data-Analysis-master/A_chapter8-财政收入预测分析(Lasso+svm.LinearSVR)/tmp/new_reg_data_GM11_revenue.xls
9.5KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/__init__.py
-
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/code/9.1.py
1.59KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/data/original_data.xls
6.47MB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/data/test_data.xlsx
15.72KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/data/water_hearter.xlsx
607.18KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/data/water_heater.xls
3.02MB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/data/water_heater_log.xlsx
8.39KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/tmp/sj.csv
2.44KB
Python-Data-Analysis-master/A_chapter9-家用热水器用户行为分析与事件识别(BP神经网络MLPClassifier)/tmp/water_heart.csv
978.04KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/1_dataExplore.ipynb
60.43KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/1_dataExplore.py
2.55KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/2.jpg
44.17KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/2_1fullMissing.ipynb
21.19KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/2_1fullMissing.py
6.49KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/3_1buildModel.ipynb
66.51KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/3_1buildModel.py
5.66KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/3_2_10-fold cross-validation.ipynb
1MB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/3_2_10-fold_cross-validation.py
2.76KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/cm_plot.py
650B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/compare.csv
326B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/confusionMatrix.jpg
15.15KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/confusionMatrix1.jpg
15.48KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/lagij.csv
336B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/lagrange.csv
663B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/LOC.jpg
22.42KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/missing_data.xls
24.5KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/model.xls
39.5KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/net.model
14.41KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/newij.csv
335B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/newton.csv
664B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/nls.csv
1.79KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/pic.xlsx
10.54KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/README.md
557B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/Series.csv
619B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/Serij.csv
308B
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/tree.pkl
4.33KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/usertypes.jpg
29.33KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/.ipynb_checkpoints/1_dataExplore-checkpoint.ipynb
60.43KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/.ipynb_checkpoints/2_1fullMissing-checkpoint.ipynb
21.19KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/.ipynb_checkpoints/3_1buildModel-checkpoint.ipynb
66.51KB
Python-Data-Analysis-master/B_chapter06-电力盗窃电用户自动识别(CART+LM)/.ipynb_checkpoints/3_2_10-fold cross-validation-checkpoint.ipynb
1MB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/1_1data_explore.ipynb
10.65KB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/2_1data_preprocess.ipynb
5.49KB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/3_1buildModel.ipynb
120.22KB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/air_data.csv
13.75MB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/radar1.py
8.37KB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/radar1.pyc
6.97KB
Python-Data-Analysis-master/B_chapter07-航空公司客户价值分析(kmeans)/README.md
363B
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/1_1dataPreprocess.ipynb
13.5KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/1_1dataPreprocess.py
3.14KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/2_1buildModel.ipynb
3.08KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/2_1buildModel.py
1.27KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/apriori.txt
19.07KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/apriori.xlsx
30.71KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/data.xls
189KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/data_processed.xlsx
5.81KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/README.md
255B
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/selfapriori.py
2.31KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/selfapriori.pyc
2.29KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/.ipynb_checkpoints/1_1dataPreprocess-checkpoint.ipynb
13.5KB
Python-Data-Analysis-master/B_chapter08-中医证型关联规则挖掘(Apriori关联规则)/.ipynb_checkpoints/2_1buildModel-checkpoint.ipynb
3.08KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/1_1dataPreprocessing.py
6.41KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/1_2Alldata.py
680B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/2_1buildModel.py
2.21KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/ALLDATA.xlsx
24.35KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/cm_plot.py
650B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/moment.csv
22.57KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/README.md
407B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/svcmodel.model
29.66KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/testPre.xlsx
5.09KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/trainPre.xlsx
5.1KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/type1.csv
5.83KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/type2.csv
5.01KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/type3.csv
8.84KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/type4.csv
2.79KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/type5.csv
794B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/.ipynb_checkpoints/1_2Alldata-checkpoint.ipynb
37.17KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/.ipynb_checkpoints/2_1buildModel-checkpoint.ipynb
20.84KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/.ipynb_checkpoints/svm_waterimg-checkpoint.ipynb
72B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/.ipynb_checkpoints/Untitled-checkpoint.ipynb
15.79KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/Finally.py
5.53KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/test.jpg
249.74KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/a.py
2.64KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/b.py
2.15KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/c.py
1021B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/d.py
1.43KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/e.py
831B
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/f.py
1.44KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/g.py
1.37KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/test0.py
3.69KB
Python-Data-Analysis-master/B_chapter09-基于水色图像的水质评价(SVM)/img_cut_pix/testCode/test1.py
3.89KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/1TimeWaterDivide.xlsx
333.04KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/1_1dataGuiyue.ipynb
18.74KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/1_1dataGuiyue.py
1.47KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_1dataExchange_divideEvent.ipynb
57.71KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_1dataExchange_divideEvent.py
3.69KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_2dataExchange_thresholdOptimization.ipynb
33.56KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_2dataExchange_thresholdOptimization.py
5.46KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_3dataExchange_attributeConstruction.ipynb
117.69KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_3dataExchange_attributeConstruction.py
14.85KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/2_3_1time_gap_compute.py
8.18KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/3_1modelBuild.ipynb
141.8KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/3_1modelBuild.py
3.39KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/attrConst_results.xlsx
23.06KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/cm_plot.py
590B
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/cm_plot.pyc
763B
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/dataExchange_divideEvent.xlsx
360.69KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/data_filter.xlsx
14.71KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/data_for_attr_const.xlsx
756.32KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/data_guiyue.xlsx
727.29KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/net.model
18.11KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/original_data.xls
6.47MB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/README.md
1.37KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/test_neural_network_data.xls
25.5KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/test_output_data.xls
5.5KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/thresholdOptimization.xlsx
333.84KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/threshold_numofCase.jpg
29.03KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/train_neural_network_data.xls
27.5KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/Water-pause-times.jpg
51.52KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/.ipynb_checkpoints/1_1dataGuiyue-checkpoint.ipynb
18.74KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/.ipynb_checkpoints/2_1dataExchange_divideEvent-checkpoint.ipynb
57.73KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/.ipynb_checkpoints/2_2dataExchange_thresholdOptimization-checkpoint.ipynb
33.46KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/.ipynb_checkpoints/2_3dataExchange_attributeConstruction-checkpoint.ipynb
117.33KB
Python-Data-Analysis-master/B_chapter10-家用电器用户行为分析与事件识别(DNN)/.ipynb_checkpoints/3_1modelBuild-checkpoint.ipynb
52.71KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/1_dataExploration.ipynb
103.96KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/1_dataExploration.py
2.08KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/2_attrsConstruction.ipynb
17.74KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/2_attrsConstruction.py
1.81KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1buildModel_C.ipynb
31.58KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1buildModel_C.py
9.95KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1_1buildModel.ipynb
115.65KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1_2buildModel.ipynb
39.04KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1_3buildModel.ipynb
27.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1_4buildModel_HQ_ARIMA.ipynb
12.01KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_1_4buildModel_HQ_ARIMA.py
4.38KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/3_2buildModel_D.ipynb
42.88KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/acf_pacf.jpg
100.05KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/attrsConstruction.xlsx
6.8KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/c.jpg
33.77KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/d.jpg
32.86KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/dataCleaned.xlsx
8.99KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/data_predict_pic.jpg
79.14KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/discdata.xls
44.5KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/pedictdata_C.xlsx
5.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/pedictdata_C_AIC_ARMA.xlsx
5.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/pedictdata_C_BIC_ARIMA.xlsx
5.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/pedictdata_C_BIC_ARMA.xlsx
5.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/pedictdata_D.xlsx
5.54KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/predictResultPicture.ipynb
69.77KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/predictResultPicture.py
2.19KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/REMDME.md
552B
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/steadyCheck.ipynb
77.18KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/steadyCheck.py
4.01KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/1_dataExploration-checkpoint.ipynb
110.39KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/2_attrsConstruction-checkpoint.ipynb
29.55KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_1buildModel_C-checkpoint.ipynb
31.58KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_1_1buildModel-checkpoint.ipynb
37.98KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_1_2buildModel-checkpoint.ipynb
39.05KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_1_3buildModel-checkpoint.ipynb
36.45KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_1_4buildModel_HQ_ARIMA-checkpoint.ipynb
12.01KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/3_2buildModel_D-checkpoint.ipynb
42.88KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/predictResultPicture-checkpoint.ipynb
69.77KB
Python-Data-Analysis-master/B_chapter11-应用系统负载分析与磁盘容量预测(ARIMA)/.ipynb_checkpoints/steadyCheck-checkpoint.ipynb
77.18KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/1_2_Data Exploration and Analysis.ipynb
61.48KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/3_webpage_rank.ipynb
58.91KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/readme.md
403B
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/1_1_3type_counts.xlsx
5.5KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/1_4type107.xlsx
5.35KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/2_2_2clickTimes.xlsx
5.68KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/2_3_4typeID.xlsx
5.66KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/2_3_5lookMorethan100.xlsx
6.03KB
Python-Data-Analysis-master/B_chapter12-电子商务网站用户行为分析及服务推荐(协同推荐)/tmp/3_flipPageResult.xlsx
6.27KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/1dataExplore.ipynb
45.96KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/1dataExplore.py
1.58KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/1_1summaryMeasure.xlsx
5.87KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/1_2relatedAnalysis.csv
1.02KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/1_net.model
13.59KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_1Lasso.ipynb
40.97KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_1Lasso.py
3.84KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_2greyPredict.ipynb
37.68KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_2greyPredict.py
3.22KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_2_1greyPredict.xlsx
6.65KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_3LMPredict.ipynb
912.07KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_3LMPredict.py
2.02KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_1_3_1revenue.xlsx
6.92KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_1Lasso.ipynb
10.88KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_1Lasso.py
1.43KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_2greyPredict.ipynb
18.5KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_2greyPredict.py
1.21KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_2_1greyPredict.xlsx
5.96KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_3LMPredict.ipynb
320.84KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_3LMPredict.py
1.91KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_2_3_1zengzhi.xlsx
6.11KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_3_1zfxjjsrPredict.ipynb
49.53KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_3_1zfxjjsrPredict.py
1.64KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/2_net.model
13.59KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/GM11.py
749B
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/README.md
396B
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/revenue.jpg
27.3KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/zengzhi.jpg
32.84KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/zhengfujijin.jpg
26.55KB
Python-Data-Analysis-master/B_chapter13-财政收入影响因素分析及预测模型(Lasso+GM11+LM+LinearSVR)/zhengfujijin2.jpg
29.11KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/1_1standardization.ipynb
19.57KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/1_1standardization.py
511B
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/1_1standardization.xlsx
23.05KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/2_1buildModel.ipynb
125.12KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/2_1buildModel.py
2.91KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/business_circle.xls
48KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/puxijulei.jpg
21.1KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/README.md
281B
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/type_0.png
40.7KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/type_1.png
55.71KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/type_2.png
30.79KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/.ipynb_checkpoints/1_1standardization-checkpoint.ipynb
19.57KB
Python-Data-Analysis-master/B_chapter14-基于基站定位数据的商圈分析(层次聚类AgglomerativeClustering)/.ipynb_checkpoints/2_1buildModel-checkpoint.ipynb
125.12KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/1_1my_meidi_jd.txt
4MB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/1_csvTotxt.ipynb
9.94KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/2_1my_meidi_jd_delduplis.txt
3.9MB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/2_delduplis.ipynb
3.67KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/3_1my_meidi_jd_process_end_负面情感结果.txt
534.47KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/3_2my_meidi_jd_process_end_正面情感结果.txt
2.73MB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/3_del_prefix.ipynb
1.72KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/4_cutwords.ipynb
1.99KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/5_LDA.ipynb
10.67KB
Python-Data-Analysis-master/B_chapter15-电商产品评论数据情感分析(LED)/README.md
540B
《Python数据分析与应用》《Python数据分析与数据挖掘实战》课中、课后练习题源码_Python-Data-Analysis/项目内附说明/如果解压失败请用ara软件解压.txt
42B