Feature Engineering Overview

This section focuses on the critical process of transforming raw data into features suitable for machine learning models.

Key Topics Covered:

• Encoding: Techniques for converting categorical data into numerical formats.
• [Placeholder for Scaling Methods]: (Add link when available)
• [Placeholder for Feature Creation]: (Add link when available)

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