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Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition - Softcover
- PublisherPackt Publishing
- Publication date2023
- ISBN 10 1801071322
- ISBN 13 9781801071321
- BindingPaperback
- LanguageEnglish
- Edition number4
- Number of pages762
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Machine Learning with R : Learn Data Cleansing to Modeling from the Tidyverse to Neural Networks and Working with Big Data
Published by
Packt Publishing, Limited, 2023
ISBN 10: 1801071322
ISBN 13: 9781801071321
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Softcover
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Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
Published by
Packt Publishing (edition 4), 2023
ISBN 10: 1801071322
ISBN 13: 9781801071321
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Paperback. Condition: Very Good. 4. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 1801071322-8-1
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Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning,
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Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning,
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Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
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Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, (Paperback or Softback)
Published by
Packt Publishing 5/29/2023, 2023
ISBN 10: 1801071322
ISBN 13: 9781801071321
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Machine Learning with R - Fourth Edition
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Machine Learning with R - Fourth Edition
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Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
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Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
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