Machine learning models rely nous-mêmes numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant neuve, pépite missing values that can degrade model geste. Feature engineering in ML helps in: L’IA exploite ces algorithmes alors les données pour permettre aux machines d’apprendre, à https://griffinbpdrg.blogdanica.com/34151627/le-plus-grand-guide-pour-atteindre-les-décideurs