Tutorials
=========
How To
------
Check our `jupyter notebooks `_
showcasing the functionality of each Feature-engine transformer.
Kaggle Kernels
--------------
We also prepared Kaggle kernels with demos mixing data exploration, feature engineering,
feature creation, feature selection and hyperparameter optimization of entire pipelines.
- `Feature selection for bank customer satisfaction prediction `_
- `Feature engineering and selection for house price prediction `_
- `Feature creation for wine quality prediction `_
- `Feature engineering and model stacking for house price modelling `_
- `Feature engineering with Feature-engine and Randomized search `_
- `Feature engineering with Feature-engine and Grid search `_
Video tutorials
---------------
You can find some videos on how to use Feature-engine in the
`Feature-engine playlist `_
in Train in Data's YouTube channel. The list is a bit short at the moment, apologies.