Summary <p>This book chapter explores feature engineering techniques in machine learning, covering topics such as rescaling, handling categorical data, time&#x2010;related feature engineering, missing ...

Conclusion. Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.