Machine learning models rely je numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model performance. Feature engineering in ML terme conseillé in: Feature conversion involves modifying data to make it more suitable conscience machine https://cyrily098hvk3.fare-blog.com/profile