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In this section, we will focus on transforming and refining our data for better analysis and modeling. This process involves techniques like scaling, encoding, and feature engineering, essential for preparing our dataset for the next steps.
Normalization and scaling adjust the scales of your features to a uniform range. This is important in datasets where feature scales vary significantly.
