Items related to Feature Engineering and Selection (Chapman & Hall/CRC...
- PublisherRoutledge
- Publication date2021
- ISBN 10 1032090855
- ISBN 13 9781032090856
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages314
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Feature Engineering and Select
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Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
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Feature Engineering and Selection : A Practical Approach for Predictive Models
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Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
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Feature Engineering and Selection : A Practical Approach for Predictive Models
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Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
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Feature Engineering and Selection: A Practical Approach for Predictive Models
Published by
Taylor & Francis Ltd, 2021
ISBN 10: 1032090855
ISBN 13: 9781032090856
New
Paperback / softback
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9781032090856
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Feature Engineering and Selection: A Practical Approach for Predictive Models
Published by
Taylor & Francis Ltd, 2021
ISBN 10: 1032090855
ISBN 13: 9781032090856
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 209. Seller Inventory # B9781032090856
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Feature Engineering and Selection (Paperback)
Published by
Taylor & Francis Ltd, London, 2021
ISBN 10: 1032090855
ISBN 13: 9781032090856
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Paperback
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Paperback. Condition: new. Paperback. 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. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032090856
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Feature Engineering and Selection
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781032090856
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