[{"title":"( 7 个子文件 24KB ) python练习-NBA比赛结果预测","children":[{"title":"python-项目一NBA","children":[{"title":"data","children":[{"title":"15-16Opponent_Per_Game_Stat.csv <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"16-17Schedule.csv <span style='color:#111;'> 42.17KB </span>","children":null,"spread":false},{"title":"2015-2016_result.csv <span style='color:#111;'> 47.94KB </span>","children":null,"spread":false},{"title":"Train_data.csv <span style='color:#111;'> 12.06KB </span>","children":null,"spread":false},{"title":"15-16Miscellaneous_Stat.csv <span style='color:#111;'> 4.68KB </span>","children":null,"spread":false},{"title":"15-16Team_Per_Game_Stat.csv <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"p1_NBA_prediction.py <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]