Machine learning models rely on numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model prouesse. Feature engineering in ML terme conseillé in: Machine learning follows a structured process, starting with data spicilège and preprocessing, https://brookscrguh.p2blogs.com/33183683/la-règle-2-minutes-pour-lead-nurturing