What is the task of data preprocessing in machine learning?

What exactly is the role of data preprocessing in machine learning? Is it merely a preliminary step, or does it hold significant importance in ensuring the effectiveness of models? How does one determine the right techniques for preprocessing, and what impact do these choices have on overall model performance and accuracy?

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