You've been asked to optimize the features for a given model. What strategies might you use, and why?
- Both feature engineering and scaling
- Feature engineering
- Feature scaling
- Random feature selection
Feature engineering involves creating new features or transforming existing ones to better represent the underlying patterns. Feature scaling, such as normalization or standardization, helps to standardize the range of features, enhancing the model's ability to learn. Both strategies together contribute to optimizing the model by improving convergence and interpretability.
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