文件名称：沃尔玛_2020
文件大小：214.08MB
文件格式：ZIP
更新时间：2024-03-05 20:16:40
JupyterNotebook
沃尔玛_2020 やること EDA 造型
【文件预览】：
WalMart_2020-master
----.ipynb_checkpoints()
--------Run-CV-m5-ver3 (store-_state)-checkpoint.ipynb(214KB)
--------M5 EDA 3-checkpoint.ipynb(1.53MB)
--------Train_Model_5-checkpoint.ipynb(43KB)
--------EDA about weight denominator-checkpoint.ipynb(80KB)
--------M5 EDA 1-checkpoint.ipynb(46.02MB)
--------create-m5-all-flow-44-checkpoint.ipynb(24KB)
--------WalMart2020 EDA no6-checkpoint.ipynb(30.17MB)
--------create-m5-select-fetures-14-checkpoint.ipynb(25KB)
--------M5 EDA 2-checkpoint.ipynb(11.22MB)
--------feature-enginnering-m5-ver2-checkpoint.ipynb(3.81MB)
--------Train_Model_6-checkpoint.ipynb(58KB)
--------WalMart2020 EDA no7-checkpoint.ipynb(10.99MB)
--------MAKE-FEATURES-M5-STATE-checkpoint.ipynb(35KB)
--------WalMart2020 Model no2 (encording)-checkpoint.ipynb(59KB)
--------optuna-store-dept-prediction-checkpoint.ipynb(1.41MB)
--------New Code Train2-checkpoint.ipynb(61KB)
--------run-cv-m5-ver9-train-checkpoint.ipynb(445KB)
--------WalMart2020 make feature-checkpoint.ipynb(61KB)
--------New Code Train-checkpoint.ipynb(49KB)
--------Trai_Loss-checkpoint.ipynb(384KB)
--------create-m5-all-flow-6-checkpoint.ipynb(36KB)
--------create-m5-select-fetures-13-checkpoint.ipynb(43KB)
--------M5 EDA 2-Copy1-checkpoint.ipynb(39MB)
--------WalMart2020 Model no1(train_df2)-checkpoint.ipynb(28KB)
--------Train_Model_7-checkpoint.ipynb(37KB)
--------feature-enginnering-m5-checkpoint.ipynb(8.02MB)
----utils3()
--------preprocessnig.py(8KB)
--------train_util_category.py(3KB)
--------lin_model_utils.py(3KB)
--------train_cv_pipeline.py(1KB)
--------last_stack_utils.py(2KB)
--------train_utils.py(6KB)
----M5 EDA 2.ipynb(11.22MB)
----Trai_Loss.ipynb(384KB)
----.DS_Store(10KB)
----New Code Train.ipynb(49KB)
----utils()
--------preprocessnig.py(8KB)
--------train_util_category.py(3KB)
--------.DS_Store(6KB)
--------lin_model_utils.py(3KB)
--------ss()
--------train_cv_pipeline.py(1KB)
--------last_stack_utils.py(2KB)
--------train_utils.py(6KB)
----Group_Predict.py(4KB)
----create-m5-select-fetures-13.ipynb(43KB)
----M5 EDA 2-Copy1.ipynb(39.44MB)
----M5 EDA 1.ipynb(47.57MB)
----optuna-store-dept-prediction.ipynb(1.09MB)
----Train_Model_6.ipynb(58KB)
----utils 2()
--------preprocessnig.py(5KB)
--------lin_model_utils.py(3KB)
--------df_shift.py(340B)
--------create_meta_data.py(6KB)
--------libraries.py(772B)
--------memory_resuce.py(2KB)
--------train_utils.py(5KB)
----m5-accuracy-sub.ipynb(47KB)
----EDA about weight denominator.ipynb(80KB)
----create-m5-all-flow-6.ipynb(46KB)
----New Code Train2.ipynb(61KB)
----README.md(282B)
----Train_Model_7.ipynb(36KB)
----WalMart2020 Model no2 (encording).ipynb(59KB)
----WalMart2020 EDA no7.ipynb(10.99MB)
----WalMart2020 Model no1(train_df2).ipynb(28KB)
----create-m5-all-flow-44.ipynb(24KB)
----Train_Model_5.ipynb(43KB)
----create M5 all flow 44 past28_RE.ipynb(24KB)
----create-m5-select-fetures-14.ipynb(25KB)
----WalMart2020 EDA no6.ipynb(30.17MB)
----1DConv_Model.py(4KB)