Feature engine python package for feature engineering

Feature engineering is the process of using domain knowledge of the data to transform existing features or to create new variables from existing ones, for use in machine learning. Using feature engineering, we can pre-process raw data and make it suitable for use in machine learning algorithms. Feature-engine is a Python library with multiple transformers to engineer features for use in machine learning models. Feature-engine's transformers follow Scikit-learn functionality with fit() and transform() methods to first learn the transforming parameters from data and then transform the data I plan to contribute to this package. In August, at Data Science Central, I also plan create a mini e-book on feature engineering which will use this page (co-authored with Aysa Tajeri).