Feature Engineering Selection Practical by Kuhn Max (22 results)
Language: English
Published by Chapman and Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Chapman and Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Chapman and Hall/CRC 2019
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Published by Chapman and Hall/CRC 2019
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Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Routledge 2021
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Language: English
Published by Chapman and Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Taylor & Francis Ltd 2021
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Language: English
Published by Routledge 2021
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Published by Taylor & Francis Ltd 2021
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Published by Chapman and Hall/CRC 2019
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Published by Chapman and Hall/CRC 2019
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Published by Taylor & Francis Ltd 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Chapman and Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Published by Chapman and Hall/CRC 2019
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Published by Chapman & Hall 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Language: English
Published by Chapman & Hall 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Language: English
Published by Chapman And Hall/CRC 2021
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representat…ions of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Language: English
Published by Chapman and Hall/CRC 2021
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Taschenbuch. Condition: Neu. Feature Engineering and Selection | A Practical Approach for Predictive Models | Max Kuhn (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032090856 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[d…ot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Chapman and Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
- Print on Demand
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Buch. Condition: Neu. Feature Engineering and Selection | A Practical Approach for Predictive Models | Max Kuhn (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9781138079229 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbiet…er: preigu Print on Demand.
Language: English
Published by Chapman And Hall/CRC 2019
Series: Chapman & Hall/CRC Data Science, Book 2 of 36. Book 2 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
- Print on Demand
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of… predictors for modeling and for nding the best subset of predictors for improving model performance.
