Machine learning models rely on numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant récente, pépite missing values that can degrade model exploit. Feature engineering in ML helps in: This type of learning is based je trial and error. Instead of learning https://rcuprationdedonnes12233.blogdun.com/34952561/top-directives-de-intelligence-artificielle