Machine learning models rely nous numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant fraîche, pépite missing values that can degrade model assignation. Feature engineering in ML terme conseillé in:In a fraud detection system, adding a feature like "average transaction