Preprocessing is a crucial step in data analysis and machine learning, involving the transformation and cleaning of raw data to enhance its quality and usability. This tag encompasses various workflows that focus on techniques such as data normalization, feature extraction, and handling missing values. By exploring these workflows, you can gain insights into effective preprocessing methods that can significantly improve your model's performance. Dive in to discover how to optimize your data preparation process!