Feature engineering is the process of creating new features or modifying existing ones from raw data to improve the performance of machine learning models. It's a critical aspect because the quality and relevance of features significantly impact...
FeatureEngineering
OneHotEncoding
Overfitting
Interpretability
Imputation
Discuss the concept of feature engineering. Why is it important in machine learning, and can you provide some examples of feature engineering techniques used to improve model performance?
machine learning
Junior Level