Week4_GlobalForecast_COVID19：一个协作存储库，其中包含第2周Kaggle竞赛的代码，对COVID-19进行全球预测（https：//www.kaggle.comccovid19-global-forecasting-week-2）-源码

[{"title":"（ 41 个子文件 7.26MB ） Week4_GlobalForecast_COVID19：一个协作存储库，其中包含第2周Kaggle竞赛的代码，对COVID-19进行全球预测（https：//www.kaggle.comccovid19-global-forecasting-week-2）-源码","children":[{"title":"Week4_GlobalForecast_COVID19-master","children":[{"title":"input","children":[{"title":"COVIDTracking-US_Whole-CurVal.csv <span style='color:#111;'> 458B </span>","children":null,"spread":false},{"title":"COVIDTracking-US_PerStates-Timeseries.csv <span style='color:#111;'> 341.56KB </span>","children":null,"spread":false},{"title":"appended_data.csv <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false},{"title":"OurWorldinData-COVID_testing-05_Apr-latest-data-source-details.csv <span style='color:#111;'> 34.22KB </span>","children":null,"spread":false},{"title":"training_data_with_weather_info_week_4.csv <span style='color:#111;'> 3.96MB </span>","children":null,"spread":false},{"title":"training_data_with_weather_info_week_3.csv <span style='color:#111;'> 3.58MB </span>","children":null,"spread":false},{"title":"Main_Worldometer_Table.csv <span style='color:#111;'> 14.37KB </span>","children":null,"spread":false},{"title":"Worldometer_Population_Latest.csv <span style='color:#111;'> 19.30KB </span>","children":null,"spread":false},{"title":"Main_Worldometer_TimeSeries.csv <span style='color:#111;'> 10.02KB </span>","children":null,"spread":false},{"title":"Worldometer_Population_Regional_Latest.csv <span style='color:#111;'> 327.41KB </span>","children":null,"spread":false},{"title":"Climate_Data_Worldbank.csv <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"OurWorldinData-COVID_testing-latest_datasource_details.csv <span style='color:#111;'> 73.30KB </span>","children":null,"spread":false},{"title":"COVIDTracking-US_Whole-Timeseries.csv <span style='color:#111;'> 8.73KB </span>","children":null,"spread":false},{"title":"train.csv <span style='color:#111;'> 1000.14KB </span>","children":null,"spread":false},{"title":"Worldometer_COVID19-Countries_TimeSeries.csv <span style='color:#111;'> 416.60KB </span>","children":null,"spread":false},{"title":"OECD_PopulationDensity_and_Area-T2_T3_Regions-2018_2019.csv <span style='color:#111;'> 3.36MB </span>","children":null,"spread":false},{"title":"submission.csv <span style='color:#111;'> 120.63KB </span>","children":null,"spread":false},{"title":"OECD_PopulationData-2018_2019-SmallRegions.csv <span style='color:#111;'> 43.26MB </span>","children":null,"spread":false},{"title":"OECD_PopulationData-2018_2019-LargeRegions.csv <span style='color:#111;'> 11.13MB </span>","children":null,"spread":false},{"title":"Worldometer_COVID19-Countries_Regional.csv <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"prediction_result.csv <span style='color:#111;'> 518.17KB </span>","children":null,"spread":false},{"title":"OurWorldinData-COVID_testing-all_observations.csv <span style='color:#111;'> 426.86KB </span>","children":null,"spread":false},{"title":"OurWorldinData-COVID_testing-05_Apr-all-observations.csv <span style='color:#111;'> 185.88KB </span>","children":null,"spread":false},{"title":"test.csv <span style='color:#111;'> 387.87KB </span>","children":null,"spread":false},{"title":"COVIDTracking-US_PerStates-CurVal.csv <span style='color:#111;'> 15.03KB </span>","children":null,"spread":false}],"spread":false},{"title":"tools","children":[{"title":"update_data.py <span style='color:#111;'> 9.93KB </span>","children":null,"spread":false},{"title":"covid19_scraper_utils.py <span style='color:#111;'> 9.47KB </span>","children":null,"spread":false},{"title":"data_processing.py <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"scrape_worldometer_data.py <span style='color:#111;'> 19.56KB </span>","children":null,"spread":false},{"title":"visualization_tools.py <span style='color:#111;'> 5.83KB </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"data_retreiver.cpython-37.pyc <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 97B </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"data_visualizer-checkpoint.ipynb <span style='color:#111;'> 20.27KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 501B </span>","children":null,"spread":false},{"title":"notebooks","children":[{"title":"data_retreiver.py <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false},{"title":"experimental.ipynb <span style='color:#111;'> 83.16KB </span>","children":null,"spread":false},{"title":"data_visualizer.ipynb <span style='color:#111;'> 17.10KB </span>","children":null,"spread":false},{"title":"forecast_w_interpret_ml.ipynb <span style='color:#111;'> 110.42KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"experimental-checkpoint.ipynb <span style='color:#111;'> 199.24KB </span>","children":null,"spread":false},{"title":"forecast_w_interpret_ml-checkpoint.ipynb <span style='color:#111;'> 110.42KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]