Explain the concept of feature engineering and its importance in machine learning.

Instruction: Define feature engineering and provide examples of its impact on model performance.

Context: This question evaluates the candidate's knowledge of the process of preparing and manipulating data inputs for better model outcomes.

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Feature engineering is the process of turning raw data into representations that make the signal more accessible to the model...

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