Feature Engineering for Beginners

This guide introduces key techniques in feature engineering, including handling missing values, encoding categorical variables, and scaling and normalizing data. It also covers advanced techniques such as feature creation, dimensionality reduction, and time series feature engineering. The post provides practical examples in Python and offers practical tips and best practices.