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Python Feature Engineering Cookbook by Galli Soledad (49 results)
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Python Feature Engineering Cookbook
Published by Packt Publishing (edition ), 2020
ISBN 10: 1789806313 ISBN 13: 9781789806311
Language: English
Paperback. Condition: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.63.
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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US$ 11.09
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Python Feature Engineering Cookbook : Over 70 Recipes for Creating, Engineering, and Transforming Features to Build Machine Learning Models
Published by Packt Publishing, Limited, 2020
ISBN 10: 1789806313 ISBN 13: 9781789806311
Language: English
Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Python Feature Engineering Cookbook (Paperback or Softback)
Published by Packt Publishing 1/22/2020, 2020
ISBN 10: 1789806313 ISBN 13: 9781789806311
Language: English
Paperback or Softback. Condition: New. Python Feature Engineering Cookbook 1.41. Book.
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Python Feature Engineering Cookbook - Third Edition: A complete guide to crafting powerful features for your machine learning models (Paperback or Softback)
Published by Packt Publishing 8/30/2024, 2024
ISBN 10: 1835883583 ISBN 13: 9781835883587
Language: English
Paperback or Softback. Condition: New. Python Feature Engineering Cookbook - Third Edition: A complete guide to crafting powerful features for your machine learning models 1.49. Book.
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Python Feature Engineering Cookbook - Second Edition: Over 70 recipes for creating, engineering, and transforming features to build machine learning m (Paperback or Softback)
Published by Packt Publishing 10/31/2022, 2022
ISBN 10: 1804611301 ISBN 13: 9781804611302
Language: English
Paperback or Softback. Condition: New. Python Feature Engineering Cookbook - Second Edition: Over 70 recipes for creating, engineering, and transforming features to build machine learning m 1.46. Book.
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Python Feature Engineering Cookbook: A complete guide to crafting powerful features for your machine learning models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Python Feature Engineering Cookbook
Published by Packt Publishing Limited, GB, 2022
ISBN 10: 1804611301 ISBN 13: 9781804611302
Language: English
Paperback. Condition: New. Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practicesReinforce your learning with the help of multiple hands-on recipesBuild end-to-end feature engineering pipelines that are performant and reproducibleBook DescriptionFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner.By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production.What you will learnImpute missing data using various univariate and multivariate methodsEncode categorical variables with one-hot, ordinal, and count encodingHandle highly cardinal categorical variablesTransform, discretize, and scale your variablesCreate variables from date and time with pandas and Feature-engineCombine variables into new featuresExtract features from text as well as from transactional data with FeaturetoolsCreate features from time series data with tsfreshWho this book is forThis book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.
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Python Feature Engineering Cookbook - Third Edition: A complete guide to crafting powerful features for your machine learning models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Python Feature Engineering Cookbook
Published by Packt Publishing Limited, GB, 2022
ISBN 10: 1804611301 ISBN 13: 9781804611302
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.76
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Add to basketPaperback. Condition: New. Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practicesReinforce your learning with the help of multiple hands-on recipesBuild end-to-end feature engineering pipelines that are performant and reproducibleBook DescriptionFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner.By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production.What you will learnImpute missing data using various univariate and multivariate methodsEncode categorical variables with one-hot, ordinal, and count encodingHandle highly cardinal categorical variablesTransform, discretize, and scale your variablesCreate variables from date and time with pandas and Feature-engineCombine variables into new featuresExtract features from text as well as from transactional data with FeaturetoolsCreate features from time series data with tsfreshWho this book is forThis book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.
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Python Feature Engineering Cookbook - Third Edition: A complete guide to crafting powerful features for your machine learning models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 60.32
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Python Feature Engineering Cookbook - Second Edition: Over 70 recipes for creating, engineering, and transforming features to build machine learning m
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Python Feature Engineering Cookbook - Second Edition: Over 70 recipes for creating, engineering, and transforming features to build machine learning m
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.55
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Add to basketCondition: As New. Unread book in perfect condition.
