农民推荐系统

时间:2024-03-07 18:50:48
【文件属性】:

文件名称:农民推荐系统

文件大小:2.41MB

文件格式:ZIP

更新时间:2024-03-07 18:50:48

JupyterNotebook

农民推荐系统 一个门户网站,可帮助农民选择收益最高的市场。 档案 clean.py-清理数据集以仅包括我们手动选择的市场,并删除空白/空单元格 Combine.py-合并每种蔬菜的所有每月数据集 convert.py-将html xls数据集转换为csv,以便更轻松地访问和修改 getinfo.py-使用自动测试工具Selenium-在给定的时间内自动下载一组作物的所有相关数据集


【文件预览】:
Recommendation-Sytem-For-Farmers-master
----ARIMA_farmers.ipynb(58KB)
----combined-datasets-2020()
--------beans2020_combined.csv(175KB)
--------capsicum2020_cleaned.csv(64KB)
--------raddish2020_cleaned.csv(79KB)
--------cabbage2020_combined.csv(156KB)
--------beans2020_cleaned.csv(101KB)
--------beet2020_combined.csv(147KB)
--------carrot2020_cleaned.csv(85KB)
--------cucumber2020_combined.csv(165KB)
--------tomato2020_cleaned.csv(116KB)
--------raddish2020_combined.csv(117KB)
--------greenc2020_combined.csv(197KB)
--------beet2020_cleaned.csv(85KB)
--------greenc2020_cleaned.csv(106KB)
--------capsicum2020_combined.csv(91KB)
--------carrot2020_combined.csv(133KB)
--------tomato2020_combined.csv(251KB)
--------cabbage2020_cleaned.csv(72KB)
--------cucumber2020_cleaned.csv(101KB)
----ARIMA_beetroot.JPG(25KB)
----farmers2021()
--------finalesa.py(8KB)
--------beet19-20.csv(214KB)
--------qstoask.txt(603B)
--------day1_ui.py(245B)
--------testop_day1.py(19B)
--------templates()
----combined-datasets()
--------cucumber2019_cleaned.csv(140KB)
--------greenc2019_combined.csv(195KB)
--------lf2019_combined.csv(107KB)
--------tomato2019_combined.csv(286KB)
--------cabbage2019_cleaned.csv(105KB)
--------greenc2019_cleaned.csv(130KB)
--------capsicum2019_cleaned.csv(77KB)
--------beet2019_combined.csv(134KB)
--------raddish2019_cleaned.csv(121KB)
--------cucumber2019_combined.csv(164KB)
--------lf2019_cleaned.csv(101KB)
--------carrot2019_cleaned.csv(116KB)
--------cabbage2019_combined.csv(143KB)
--------carrot2019_combined.csv(125KB)
--------raddish2019_combined.csv(125KB)
--------capsicum2019_combined.csv(73KB)
--------beet2019_cleaned.csv(125KB)
--------tomato2019_cleaned.csv(166KB)
----getinfo.py(10KB)
----combine.py(777B)
----ARIMA_beetroot_mysuru.JPG(23KB)
----convert.py(522B)
----README.md(574B)
----clean.py(832B)
----Holt_Exp_Smoothing_carrot.ipynb(2.32MB)

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