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Feature Engineering and Selection

A Practical Approach for Predictive Models

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Pages
314pages
Temps de lecture
11heures

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Focusing on the often-overlooked stages of developing predictive models, this book emphasizes techniques for optimizing predictor representations and selecting the most effective subsets of predictors. It provides insights into enhancing model performance beyond just the algorithms, making it a valuable resource for those looking to deepen their understanding of the entire modeling process.

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Feature Engineering and Selection, Max Kuhn, Kjell Johnson

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Année de publication
2019
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