Package: ncaa-march-madness-2020
ncaa-march-madness-2020The goal of ncaa-march-madness-2020 is to store the notebooks for thisKaggle
Competition,
seeGitBookincludingBaselineXGBOOST \u8d85\u53c2\u6570\u8c03\u6574Target encodingID embeddingGBDT + LRGBDT + LR k-fold\u53d8\u91cf\u91cd\u8981\u6027Linear vs.\u00a0Tree linear?Auto-encoder \u67e5\u8be2\u5f02\u5e38\u503cPython \u5305\u8bf4\u660eWe publish our package with some internal functions, install withpipinstallncaa-march-madness-2020How to useAll notebooks work in theanalysisdirectory, and save all data files
ininput,outputanddatadirectories.fs::dir_tree(\"analysis\",recurse=TRUE,regexp=\"ipynb\")#> analysis#> +-- baseline.ipynb#> +-- evaluate-features.ipynb#> +-- gbdt_lr.ipynb#> +-- gbdt_lr_CV.ipynb#> +-- id2vec.ipynb#> +-- linear-base-learner.ipynb#> +-- march-madness-2020-ncaam-simple-lightgbm-on-kfold.ipynb#> +-- Obtain_Answer.ipynb#> +-- outliers.ipynb#> +-- params_tuning.ipynb#> +-- paris-madness.ipynb#> +-- pkg_test.ipynb#> \\-- target-encoding.ipynbfs::dir_tree(recurse=TRUE,regexp=\"input|output|data\")#> .#> +-- data#> |   +-- feature_importances.csv#> |   +-- id2vec.npy#> |   +-- NCAA2020_Kenpom.csv#> |   +-- outlier_df.csv#> |   +-- submission_True.csv#> |   +-- team_strength_embedding.csv#> |   +-- Tourney_Reuslt.csv#> |   \\-- Tourney_Reuslt_inputs.csv#> +-- input#> |   +-- google-cloud-ncaa-march-madness-2020-division-1-mens-tournament#> |   |   +-- MDataFiles_Stage1#> |   |   |   +-- Cities.csv#> |   |   |   +-- Conferences.csv#> |   |   |   +-- MConferenceTourneyGames.csv#> |   |   |   +-- MGameCities.csv#> |   |   |   +-- MMasseyOrdinals.csv#> |   |   |   +-- MNCAATourneyCompactResults.csv#> |   |   |   +-- MNCAATourneyDetailedResults.csv#> |   |   |   +-- MNCAATourneySeedRoundSlots.csv#> |   |   |   +-- MNCAATourneySeeds.csv#> |   |   |   +-- MNCAATourneySlots.csv#> |   |   |   +-- MRegularSeasonCompactResults.csv#> |   |   |   +-- MRegularSeasonDetailedResults.csv#> |   |   |   +-- MSeasons.csv#> |   |   |   +-- MSecondaryTourneyCompactResults.csv#> |   |   |   +-- MSecondaryTourneyTeams.csv#> |   |   |   +-- MTeamCoaches.csv#> |   |   |   +-- MTeamConferences.csv#> |   |   |   +-- MTeams.csv#> |   |   |   \\-- MTeamSpellings.csv#> |   |   +-- MEvents2015.csv#> |   |   +-- MEvents2016.csv#> |   |   +-- MEvents2017.csv#> |   |   +-- MEvents2018.csv#> |   |   +-- MEvents2019.csv#> |   |   +-- MPlayers.csv#> |   |   \\-- MSampleSubmissionStage1_2020.csv#> |   \\-- google-cloud-ncaa-march-madness-2020-division-1-mens-tournament.zip#> +-- large_data#> \\-- output#>     \\-- paris-submission.csvDownload DataFromhttps://github.com/Kaggle/kaggle-apikagglecompetitionsdownload-cgoogle-cloud-ncaa-march-madness-2020-division-1-mens-tournament-pinput
mkdirinput/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament
unzipinput/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament.zip-dinput/google-cloud-ncaa-march-madness-2020-division-1-mens-tournamentCode of ConductPlease note that thencaa-march-madness-2020project is released with
aContributor Code of
Conduct.By
contributing to this project, you agree to abide by its terms.LicenseApache License (\>= 2.0) \u00a9Jiaxiang Li;Jiatao Li;Zhipeng Liang;Yue
Pan