Automated Feature Engineering

Automated Feature Engineering is an advanced data processing technique that automatically extracts useful and meaningful features from relevant data tables, optimizing the traditional manual feature engineering process. This method aims to enhance model performance and efficiency while reducing human intervention, making it applicable to various machine learning problems and significantly improving the accuracy and reliability of data analysis.