Machine learning models rely on numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant information, pépite missing values that can degrade model performance. Feature engineering in ML helps in: Machine learning follows a structured process, starting with data album and preprocessing, then https://stratgieb2b78890.tribunablog.com/le-plus-grand-guide-pour-atteindre-les-décideurs-48629252