Feature Engineering Techniques for Structured Data – Machine Learning Tutorial

Feature engineering is an essential step in the data preprocessing process, involving the creation of new features, transformation of existing ones, and selection of relevant attributes to improve machine learning models. Techniques covered in the article include one-hot encoding, feature scaling, feature creation, feature selection, and binning.