文件名称：DataAnalysisWithJupyter：使用Jupyter Notebook进行数据分析的理想存储库
文件大小：13.43MB
文件格式：ZIP
更新时间：2024-02-25 01:48:18
database jupyter numpy pandas-dataframe jupyter-notebook
DataAnalysisWithJupyter：使用Jupyter Notebook进行数据分析的理想存储库
【文件预览】：
DataAnalysisWithJupyter-master
----NormalityTest()
--------data.csv(4KB)
--------Gradient Descent.ipynb(976B)
--------Normality Test For Data.ipynb(30KB)
----_config.yml(29B)
----SalaryVsExperinceModel()
--------Year Experince vs Salary Graph.png(22KB)
--------Salary.csv(381B)
--------ExperinceVsSalary Data Analysis with Jupyter Notebook.ipynb(80KB)
----LICENSE(1KB)
----Employee compensationDataset()
--------train()
--------EmployeeCompensation.ipynb(218KB)
----MilitaryExpenditureAnalysis()
--------Military Expenditure.csv(124KB)
--------MilitaryExpenditureAnalysis.ipynb(50KB)
----StudentMarksPrediction()
--------Class Test vs Total Marks.png(14KB)
--------Grading of student.ipynb(49KB)
--------Grading of the students in the exam (OR).csv(2KB)
--------Attendance vs Total Marks.png(13KB)
--------Final Marks Box Plot.png(6KB)
--------Class Test vs Final Marks.png(13KB)
----UsBorderCrossingAnalysis()
--------UsBorderCrossingAnalysis.ipynb(69KB)
--------Border_Crossing_Entry_Data.csv(27.73MB)
----.gitignore(87B)
----IndiaImportExportAnalysis()
--------2018-2010_import.csv(7.59MB)
--------2018-2010_export.csv(11.17MB)
--------IndiaImportExport.ipynb(50KB)
----README.md(2KB)
----BostonHousingPrediction()
--------BostonHousing.ipynb(23KB)
----CrimeRateInINDIA Analysis()
--------your_report.html(2.72MB)
--------corelation Graph.png(23KB)
--------Robery Data By Statewise.png(54KB)
--------crime_by_state_rt.csv(17KB)
--------Outlier Robbery Detection.png(1KB)
--------CrimeRateInINDIA.ipynb(3.07MB)
--------.ipynb_checkpoints()
--------Outlier Robbery Statewise.png(43KB)
----.gitattributes(66B)