Create kelmarsh-kaggle.py (#40)

* Create kelmarsh-kaggle.py

* Update .gitignore

* unpack scada

* Create ERA5T_52.50N_-1.00E_100m_1hr.parquet

* use ERA5 for northing

* unpack train data as well

* write eng features to parquet

* kaggle pipeline WIP

* format kelmarsh_kaggle.py

* use mae and handle nans

* use logging in kaggle_pipeline

* log feature importance details

* Update kelmarsh_kaggle.py

* try hyperparameter tuning

try hyperparameter tuning and increasing folds from 5 to 10

* add some windup features

* add TODO list

* Update .gitignore

* Delete kaggle_pipeline.py

* fix smarteole_example.ipynb lint issue

* update kelmarsh_kaggle.py and dependencies

* try to fix mypy issue

* update comments and gitignore

* Update .gitignore

* Update kelmarsh_kaggle.py

.gitignore

@@ -73,3 +73,8 @@ __pycache__/
 cache/
 output/
 .DS_Store
+/examples/kelmarsh_kaggle_data/*.csv
+/examples/**/*.pickle
+/examples/**/*.log
+/examples/**/*.png
+/examples/**/*.parquet