炼数成金:Python数据分析

网易云课堂: 炼数成金:Python数据分析

课程文件目录: 炼数成金:Python数据分析[2.25G]

第10周[91.77M]

python10.pdf[884.85K]

week10.py[2.42K]

week10a.mp4[25.06M]

week10b.mp4[29.33M]

week10c.mp4[36.51M]

第11周[50.44M]

bankloan.xls[125.00K]

data1.txt[0.74K]

data2.txt[0.14K]

python11.pdf[908.60K]

week11.py[2.74K]

week11a.mp4[30.39M]

week11b.mp4[19.04M]

第12周[171.33M]

arima_data.xls[18.00K]

python12.pdf[1.02M]

stock_px.csv[99.03K]

week12.py[7.49K]

week12a.mp4[50.41M]

week12b.mp4[60.37M]

week12c.mp4[59.41M]

第13周[98.25M]

python13.pdf[1.06M]

week13.py[2.69K]

week13a.mp4[27.82M]

week13b.mp4[33.78M]

week13c.mp4[21.29M]

week13c-2.mp4[14.29M]

第14周[117.92M]

ex14.csv[0.75K]

python14.pdf[1.23M]

week14.py[6.27K]

week14a.mp4[54.91M]

week14b.mp4[39.28M]

week14c.mp4[22.50M]

第15周[182.32M]

案例[95.68M]

business_circle.xls[48.00K]

案例分析.pptx[188.59K]

电信客户流失分析.py[3.41K]

电信客户流失模型.mp4[37.10M]

股票指数构建.mp4[28.44M]

股票指数构建.py[1.39K]

基于基站定位数据的商圈.py[2.34K]

基站聚类商圈.mp4[29.89M]

ex15.txt[0.29K]

python15.pdf[833.84K]

week15.py[1.32K]

week15a.mp4[34.79M]

week15b.mp4[17.77M]

week15c.mp4[33.26M]

第1周[276.43M]

《Python编程实践》PDF及代码.part1.rar[35.00M]

《Python编程实践》PDF及代码.part2.rar[25.53M]

《利用Python进行数据分析》.(WesMcKinney).[PDF]@jb51.net.pdf[79.58M]

Python_jmjc(jb51.net).rar[6.58M]

python01.rar[123.58M]

Python初学教程:《简明Python教程》.pdf[812.97K]

Python数据分析基础教程:NumPy学习指南(第2版).pdf[5.36M]

week1.py[7.65K]

第2周[123.06M]

python02.rar[123.05M]

week2.py[4.67K]

week2-2.py[5.36K]

第3周[128.64M]

week03a.mp4[56.19M]

week03b.mp4[46.23M]

week03c.mp4[26.22M]

week3.py[5.77K]

第4周[109.60M]

ag0613.csv[9.56K]

data.csv[1.60K]

python04.rar[109.57M]

week4.py[11.08K]

week4-2.py[9.66K]

weeksummary.csv[0.09K]

第5周[86.26M]

data[613.80K]

csv_mindex.csv[0.11K]

ex1.csv[0.06K]

ex2.csv[0.04K]

ex3.csv[0.17K]

ex3.txt[0.17K]

ex4.csv[0.16K]

ex5.csv[0.08K]

ex6.csv[612.17K]

ex7.csv[0.04K]

frame_pickle[0.64K]

out.csv[0.09K]

tseries.csv[0.09K]

python05.pdf[1.06M]

python05.rar[84.60M]

week5.py[7.25K]

第6周[191.05M]

data[30.60M]

catering_sale.xls[32.00K]

electricity_data.xls[23.00K]

foods-2011-10-03.json[30.34M]

movies.dat[167.29K]

normalization_data.xls[22.00K]

olivier.txt[0.74K]

principal_component.xls[25.00K]

第6周作业数据[69.12K]

BHP1.csv[0.56K]

BHP2.xlsx[9.06K]

肝气郁结证型系数.xls[59.50K]

python06.rar[160.36M]

week6.py[15.53K]

第7周[167.68M]

data[2.03M]

Haiti.csv[1.86M]

macrodata.csv[17.81K]

spx.csv[146.59K]

tips.csv[7.76K]

python07.pdf[628.91K]

week07a.mp4[78.16M]

week07b.mp4[42.30M]

week07c.mp4[44.57M]

week7.py[8.59K]

第8周[294.11M]

data[150.74M]

Amtrak.xls[92.50K]

P00000001-ALL.csv[150.56M]

stock_px.csv[99.03K]

python08.pdf[559.58K]

week08-1.avi[37.08M]

week08-2.avi[47.27M]

week08-3.avi[35.85M]

week08-4.avi[22.61M]

week8.py[10.58K]

作业.txt[0.28K]

第9周[174.80M]

Amtrak.xls[93.00K]

python09.pdf[1.18M]

week09a.mp4[78.94M]

week09b.mp4[33.28M]

week09c.mp4[61.30M]

week9.py[1.06K]

[Python2]《机器学习实战》及源代码.zip[44.07M]

课程下载地址:

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  • 最近更新2022年12月26日
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