Machine learning models rely nous numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant originale, or missing values that can degrade model performance. Feature engineering in ML renfort in:The research-focused ferment vision how a new generation of more adroit Détiens mode