Feature Engine is a python library with multiple transformers to engineer features for use in machine learning models.
The transformers work with Scikit-learn like functionality. The first learn the imputing or encoding methods from the training set, and subsequently transform the dataset.
Currently there transformers include functionality for:
- Missing value imputation
- Categorical variable encoding
- Outlier removal
- Numerical Variable Transformation
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