Data Preprocessing and Model Training in Machine Learning

This chapter focuses on the critical role of data pre-processing, distinguishing it from model validation, and highlights techniques in feature engineering for effective machine learning. It covers various training approaches, the significance of establishing a robust model, and the complexities of model evaluation within a pipeline. Additionally, the chapter underscores the collaboration between data scientists and software engineers in developing efficient machine learning pipelines and the importance of regular model updates.