What is data preprocessing?

Data preprocessing is a crucial step in data mining and machine learning. It involves transforming raw data into a format that is more suitable for analysis and model building. Common techniques include cleaning (handling missing values, noise removal), transformation (scaling, normalization, aggregation), reduction (feature selection, dimensionality reduction), and integration (combining data from multiple sources).