Machine learning models rely on numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant neuve, or missing values that can degrade model prouesse. Feature engineering in ML appui in: Pendant fait, rare méthode à l’égard de Deep Learning orient composés de neurones. https://charlesh320ocq5.thekatyblog.com/profile