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Applied Predictive Modeling

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A comprehensive guide to the principles and practices of building robust predictive models. Tailored for practitioners and data scientists, the book blends theoretical foundations with practical applications across various domains, including healthcare, finance, and marketing. Covering essential topics such as data preprocessing, feature engineering, model evaluation, and advanced machine learning techniques, the book emphasizes real-world problem-solving with clear examples and R code implementations. This resource is indispensable for anyone aiming to master predictive analytics and develop models that drive actionable insights.

Zakup książki

Applied Predictive Modeling, Max Kuhn, Kjell Johnson

Język
Rok wydania
2013
Oprawa
(twarda)
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4,4
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316 Ocena

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Tytuł
Applied Predictive Modeling
Język
angielski
Rok wydania
2013
Oprawa
twarda
Liczba stron
600
ISBN10
1461468485
ISBN13
9781461468486
Seria
Ocena
4,4 z 5
Opis
A comprehensive guide to the principles and practices of building robust predictive models. Tailored for practitioners and data scientists, the book blends theoretical foundations with practical applications across various domains, including healthcare, finance, and marketing. Covering essential topics such as data preprocessing, feature engineering, model evaluation, and advanced machine learning techniques, the book emphasizes real-world problem-solving with clear examples and R code implementations. This resource is indispensable for anyone aiming to master predictive analytics and develop models that drive actionable insights.