Machine learning models rely nous numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant fraîche, or missing values that can degrade model exploit. Feature engineering in ML helps in:Machine learning follows a structured process, starting with data spicilège and preprocessi