AutoML, or Automated Machine Learning, refers to the process of automating the end-to-end process of applying machine learning to real-world problems. It encompasses the automation of various stages including data preprocessing, feature engineering, model selection, and hyperparameter tuning, enabling users with limited expertise in machine learning to build effective models.
