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Prodat knihyParametry
- 600 stránek
- 21 hodin čtení
Více o knize
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.
Nákup knihy
Applied Predictive Modeling, Max Kuhn, Kjell Johnson
- Jazyk
- Rok vydání
- 2013
- Vazba
- (pevná)
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Doručení
Platební metody
4,4
Velmi dobrá
99+ Hodnocení
Tady nám chybí tvá recenze.
- Titul
- Applied Predictive Modeling
- Jazyk
- anglicky
- Autoři
- Max Kuhn, Kjell Johnson
- Vydavatel
- Springer
- Rok vydání
- 2013
- Vazba
- pevná
- Počet stran
- 600
- ISBN10
- 1461468485
- ISBN13
- 9781461468486
- Série
- Hodnocení
- 4,4 z 5
- Anotace
- 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.