Machine Learning Feature Engineering - A Practical Guide
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Feature engineering is often the fastest path to better ML performance. This book teaches you how to transform raw tabular data into strong signals while avoiding leakage and unreliable shortcuts.
You will learn when to apply encoding, transformations, time-based features, and robust preprocessing patterns that consistently improve real-world results.
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