Question 1 of 15
What is the primary purpose of feature preprocessing in a machine learning pipeline?
To improve data quality and model performance
To reduce the size of the training dataset
To replace the need for model evaluation
To automatically select the best algorithm
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Understand data preprocessing techniques and their impact on model performance.

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