Machine learning models rely je numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant information, or missing values that can degrade model record. Feature engineering in ML helps in: In a fraud detection system, adding a feature like "average accord amount per https://asenacaa098hvj3.blog-a-story.com/profile