文件名称：NBA_Score_Prediction:尝试预测NBA比赛得分
文件大小：25.64MB
文件格式：ZIP
更新时间：2024-04-21 03:18:53
JupyterNotebook
NBA_得分_预测 尝试预测NBA比赛得分
【文件预览】：
NBA_Score_Prediction-main
----.gitignore(2KB)
----run_in_docker.sh(779B)
----TeamBasedClassifier_PastGamesRollingStatsWithSameHomeVisitorStatus.ipynb(103KB)
----model()
--------fastai_learner.py(0B)
--------sklearner.py(0B)
----Data.ipynb(204KB)
----TeamBasedRegression_SimplePastGames.ipynb(172KB)
----LICENSE(34KB)
----.DS_Store(6KB)
----utils()
--------datarefresher.py(17KB)
----README.md(59B)
----Data()
--------ProcessedDataset_TeamBasis_mean_Past10Games_2021-02-18.pkl(3.1MB)
--------ProcessedDataset_TeamBasis_mean_Past10Games_SameHomeVisitorStatus_2021-02-21.pkl(2.21MB)
--------dataset.xlsx(1.04MB)
--------ProcessedDataset_TeamBasis_mean_Past5Games_2021-02-17.pkl(3.13MB)
--------team_enums.txt(2KB)
--------box_scores_2014to2021.p(58.1MB)
--------full_data_2014to2021.pkl(2.98MB)
--------ProcessedDataset_TeamBasis_mean_Past5Games.pkl(2MB)
--------temp_four_factors.pkl(1.2MB)
--------schedule_2021-02-20.pkl(973KB)
----basketball_reference_scraper()
--------players.py(3KB)
--------pbp.py(2KB)
--------__init__.py(0B)
--------box_scores.py(2KB)
--------injury_report.py(1KB)
--------constants.py(3KB)
--------utils.py(4KB)
--------README.md(2KB)
--------lookup.py(3KB)
--------teams.py(6KB)
--------seasons.py(3KB)
--------shot_charts.py(2KB)
--------br_names.txt(69KB)
----ScratchPaper.ipynb(7KB)
----cbastats(22B)
----TeamBasedRegression_PastGamesRollingStatsWithSameHomeVisitorStatus.ipynb(93KB)
----TeamBasedClassifier_SimplePastGames.ipynb(150KB)