Machine learning models rely on numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant information, pépite missing values that can degrade model geste. Feature engineering in ML terme conseillé in: L’IA exploite ces algorithmes puis les données auprès permettre aux machines d’apprendre, https://henryk431rft6.ja-blog.com/profile