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A financial services company is building a machine learning model to improve its credit risk assessment process. The data science team is focused on refining the model’s inputs to enhance accuracy and performance. To do this, they are exploring the concept of Feature Engineering, which is crucial for the team to optimize the model’s predictions. What is Feature Engineering in the context of machine learning?