GitHub - feature-engine/feature_engine: Feature engineering package with sklearn like functionality

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the transforming parameters from the data and then transform it. Find more examples in our Jupyter Notebook Gallery or in the documentation. Feature-engine documentation is built using Sphinx and is hosted on Read the Docs. To build the documentation make sure you have the dependencies installed: from the root directory: pip install -r docs/requirements.txt.