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Data Preprocessing for Reliable Models

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Problem

Scenario

You are preparing data for a supervised learning task and comparing a few candidate models. Before training, you need to decide how to clean, transform, and structure the raw inputs so the model can learn useful patterns.

Question

Discuss the importance of data preprocessing in machine learning.