文件名称：finance_modeling:该存储库的目的是开发用于库存预测的统计模型。 目前，这只是一项业余爱好，目的是将知识应用到统计和机器学习中
文件大小：4.91MB
文件格式：ZIP
更新时间：2024-04-03 06:57:27
JupyterNotebook
财务建模 该存储库的目的是开发用于库存预测的统计模型。 目前，这只是一项业余爱好，目的是将知识应用到统计和机器学习中 参考
【文件预览】：
finance_modeling-master
----downloads()
--------vacation_expenditure.csv(172B)
--------property.csv(584B)
----images()
--------la_jolla_home.jpg(234KB)
--------finance_goals.jpg(2.86MB)
--------audi_convertible.jpg(109KB)
----src()
--------__init__.py(0B)
--------finance_post_process.py(3KB)
--------__pycache__()
----need_for_investment.ipynb(776KB)
----notebooks()
--------expenses_october_2020.xls(13KB)
--------expense_analyzer_december_2020.ipynb(93KB)
--------.ipynb_checkpoints()
--------expense_analyzer_february_2021.ipynb(92KB)
--------expense_analyzer_april_2020.ipynb(85KB)
--------budget_february_2020.csv(134B)
--------expenses_june_2020.xls(13KB)
--------expense_analyzer_january_2021.ipynb(94KB)
--------report_december_2020.csv(740B)
--------expense_analyzer.ipynb(93KB)
--------expense_analyzer_may_2020.ipynb(87KB)
--------report_march_2020.csv(543B)
--------expenses_april_2020.xls(10KB)
--------report_october_2020.csv(714B)
--------report_june_2020.csv(553B)
--------expenses_november_2020.xls(16KB)
--------expense_analyzer_february_2020.ipynb(91KB)
--------budget_april_2020.csv(135B)
--------budget_june_2020.csv(135B)
--------budget_february_2021.csv(135B)
--------expenses_july_2020.xls(15KB)
--------expense_analyzer_october_2020.ipynb(99KB)
--------model_goal_allocation.csv(127B)
--------expenses_september_2020.xls(12KB)
--------report_may_2020.csv(546B)
--------goal_planning.ipynb(215KB)
--------.budget_july_2020.csv.swp(4KB)
--------expense_analyzer_march_2020.ipynb(87KB)
--------expenses_february_2020.xls(16KB)
--------expense_analyzer_september_2020.ipynb(91KB)
--------budget_may_2020.csv(135B)
--------budget_december_2020.csv(135B)
--------report.csv(604B)
--------.budget_ma.swp(4KB)
--------expenses_february_2021.xls(14KB)
--------report_july_2020.csv(569B)
--------budget_january_2021.csv(135B)
--------expense_analyzer_november_2020.ipynb(94KB)
--------report_february_2021.csv(728B)
--------expenses_may_2020.xls(13KB)
--------expenses.xls(30KB)
--------expenses_january_2021.xls(14KB)
--------expenses_march_2020.xls(16KB)
--------budget.csv(134B)
--------budget_march_2020.csv(135B)
--------report_april_2020.csv(553B)
--------budget_october_2020.csv(135B)
--------expense_analyzer_june_2020.ipynb(92KB)
--------budget_july_2020.csv(135B)
--------budget_september_2020.csv(135B)
--------report_september_2020.csv(565B)
--------budget_november_2020.csv(135B)
--------report_february_2020.csv(565B)
--------report_november_2020.csv(712B)
--------expense_analyzer_july_2020.ipynb(92KB)
----README.md(286B)