文件名称：ipl_data_analysis_python:使用Python分析IPL数据
文件大小：7.79MB
文件格式：ZIP
更新时间：2024-06-16 12:15:07
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IPL数据分析 使用Python分析IPL数据。
【文件预览】：
ipl_data_analysis_python-master
----.ipynb_checkpoints()
--------01-911 Calls Data Capstone Project-Copy1-checkpoint.ipynb(313KB)
--------Choropleth plots-checkpoint.ipynb(134KB)
--------Plotly_plots-checkpoint.ipynb(583KB)
----regression()
--------.ipynb_checkpoints()
--------Simple_Linear_Regression(SLR).ipynb(24KB)
----PROJECT A NEW ERA OF DATA ANALYSIS IN BASEBALL()
--------Statcast _ Glossary _ MLB.com.pdf(90KB)
--------About Baseball Savant _ baseballsavant.com.pdf(105KB)
--------A New Era of Data Analysis in Baseball()
----temp-plot.html(3.27MB)
----IPL.jpg(92KB)
----debug.log(874B)
----README.md(59B)
----pivot_testing.csv(2KB)
----image()
--------poission_dist.jpg(30KB)
--------expo_dist.jpg(34KB)
--------binom_dist.jpg(31KB)
--------normal_dist.jpg(28KB)
--------header_create.pptx(284KB)
----01-911 Calls Data Capstone Project-Copy1.ipynb(315KB)
----Data()
--------auto-mpg.data(30KB)
--------vimana.csv(299B)
--------Income Data.csv(4KB)
--------wsb.csv(865B)
--------2011_US_AGRI_Exports.csv(9KB)
--------breakups.csv(208B)
--------bollywoodmovies.csv(213B)
--------IPL_IMB381IPL2013.csv(15KB)
--------MBA Salary.csv(755B)
--------911s.csv(17.53MB)
--------__MACOSX()
--------beer.csv(612B)
--------2014_World_GDP.csv(4KB)
--------GLAXO.csv(105KB)
--------pivot_testing.xlsx(7KB)
--------curve.csv(673B)
--------healthdrink.xlsx(27KB)
--------store.xls(25KB)
--------bank.csv(233KB)
--------Earnings Manipulation 220.csv(24KB)
--------onestop.csv(334B)
--------2014_World_Power_Consumption.csv(9KB)
--------customerspends.csv(297B)
--------trainingscores.csv(342B)
--------bollywood.csv(9KB)
--------German Credit Data.csv(49KB)
--------hr_data.csv(757KB)
--------country.csv(377B)
--------Advertising.csv(5KB)
--------sentiment_train(437KB)
--------passport.csv(295B)
--------BEML.csv(102KB)
--------forecast.xls(67KB)
----links(92B)
----.vscode()
--------settings.json(85B)
----workbook_python.ipynb(2KB)
----Probability_hypothesis()
--------probability_hypothesis.ipynb(237KB)
--------.ipynb_checkpoints()
----Plotly_plots.ipynb(583KB)
----test folder()
--------spark_figure.png(68KB)
--------test this.txt(0B)
--------virat.jpeg(8KB)
--------library_checks.ipynb(2KB)
--------debug.log(437B)
--------README.md(679B)
--------python_ipl_DA.ipynb(93KB)
--------.git.txt(0B)
--------spark.py(4KB)
--------Annotation 2020-05-14 195726.jpg(24KB)
--------test(12B)
--------spark_webpage.html(2KB)
--------six.png(3KB)
----Descriptive_analytics()
--------.ipynb_checkpoints()
--------data_exploration_1.ipynb(394KB)
----Choropleth plots.ipynb(134KB)