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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.64.
Published by Packt Publishing (edition 2nd ed.), 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Published by Packt Publishing Limited, Birmingham, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
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Paperback. Condition: new. Paperback. Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.Key FeaturesGet to grips with new techniques for data preprocessing and cleaning for machine learning and NLP modelsUse new and updated AI tools and techniques for data cleaning tasksClean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AIBook DescriptionJumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes.Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, youll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, youll build functions and classes that you can reuse without modification when you have new data.By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.What you will learnUsing OpenAI tools for various data cleaning tasksProducing summaries of the attributes of datasets, columns, and rowsAnticipating data-cleaning issues when importing tabular data into pandasApplying validation techniques for imported tabular dataImproving your productivity in pandas by using method chainingRecognizing and resolving common issues like dates and IDsSetting up indexes to streamline data issue identificationUsing data cleaning to prepare your data for ML and AI modelsWho this book is forThis book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples.Working knowledge of Python programming is all you need to get the most out of the book. The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Packt Publishing 5/31/2024, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
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Add to basketPaperback or Softback. Condition: New. Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI 1.82. Book.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 436 | Sprache: Englisch | Produktart: Bücher.
Published by Packt Publishing Limited, GB, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketPaperback. Condition: New. The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.
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Published by Packt Publishing Limited, GB, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Add to basketPaperback. Condition: New. The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.
Published by Packt Publishing Limited, GB, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 63.15
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Add to basketPaperback. Condition: New. The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.
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Published by Packt Publishing Limited, GB, 2024
ISBN 10: 1803239875 ISBN 13: 9781803239873
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
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Add to basketPaperback. Condition: New. Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.Key FeaturesGet to grips with new techniques for data preprocessing and cleaning for machine learning and NLP modelsUse new and updated AI tools and techniques for data cleaning tasksClean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AIBook DescriptionJumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes.Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you'll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data.By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.What you will learnUsing OpenAI tools for various data cleaning tasksProducing summaries of the attributes of datasets, columns, and rowsAnticipating data-cleaning issues when importing tabular data into pandasApplying validation techniques for imported tabular dataImproving your productivity in pandas by using method chainingRecognizing and resolving common issues like dates and IDsSetting up indexes to streamline data issue identificationUsing data cleaning to prepare your data for ML and AI modelsWho this book is forThis book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples.Working knowledge of Python programming is all you need to get the most out of the book.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Packt Publishing, Birmingham, U.K., 2020
ISBN 10: 1800565666 ISBN 13: 9781800565661
Language: English
Seller: Black Falcon Books, Wellesley, MA, U.S.A.
First Edition
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Add to basketSoft cover. Condition: Near Fine. 1st Edition. First published: December 2020, stated. The book is square and unmarked; spine and wraps uncreased; Mylar protected.
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Published by Packt Publishing 12/11/2020, 2020
ISBN 10: 1800565666 ISBN 13: 9781800565661
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
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Add to basketPaperback or Softback. Condition: New. Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights 1.64. Book.
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Add to basketKartoniert / Broschiert. Condition: New. The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data.
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Add to basketPaperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Add to basketCondition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.
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Add to basketpaperback. 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!