Condizione: Very Good. paperback 100% of proceeds go to charity! May have signs of use, wear and minor cosmetic defects.
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condizione: 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!
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Packt Publishing 5/29/2018, 2018
ISBN 10: 1789532027 ISBN 13: 9781789532029
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 20,36
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2023
ISBN 10: 1789532027 ISBN 13: 9781789532029
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 23,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloDigital. Condizione: New. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.About This Book. Get up and running with the Jupyter ecosystem and some example datasets. Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests. Discover how you can use web scraping to gather and parse your own bespoke datasets Who This Book Is ForThis book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.What You Will Learn. Identify potential areas of investigation and perform exploratory data analysis. Plan a machine learning classification strategy and train classification models. Use validation curves and dimensionality reduction to tune and enhance your models. Scrape tabular data from web pages and transform it into Pandas DataFrames. Create interactive, web-friendly visualizations to clearly communicate your findings In DetailGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.Style and approachThis book covers every aspect of the standard data-workflow process within a day, along with theory, practical hands-on coding, and relatable illustrations.
Condizione: New. pp. 194.
Lingua: Inglese
Editore: Packt Publishing 2018-06-05, 2018
ISBN 10: 1789532027 ISBN 13: 9781789532029
Da: Chiron Media, Wallingford, Regno Unito
EUR 17,86
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 22,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 20,81
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 24,08
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2023
ISBN 10: 1789532027 ISBN 13: 9781789532029
Da: Rarewaves.com UK, London, Regno Unito
EUR 20,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloDigital. Condizione: New. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.About This Book. Get up and running with the Jupyter ecosystem and some example datasets. Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests. Discover how you can use web scraping to gather and parse your own bespoke datasets Who This Book Is ForThis book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.What You Will Learn. Identify potential areas of investigation and perform exploratory data analysis. Plan a machine learning classification strategy and train classification models. Use validation curves and dimensionality reduction to tune and enhance your models. Scrape tabular data from web pages and transform it into Pandas DataFrames. Create interactive, web-friendly visualizations to clearly communicate your findings In DetailGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.Style and approachThis book covers every aspect of the standard data-workflow process within a day, along with theory, practical hands-on coding, and relatable illustrations.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 24,79
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 22,34
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Majestic Books, Hounslow, Regno Unito
EUR 23,65
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 194.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 24,22
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 194.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 24,39
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: moluna, Greven, Germania
EUR 27,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You ll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models w.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 26,61
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Da: preigu, Osnabrück, Germania
EUR 27,35
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Beginning Data Analysis with Python And Jupyter | Use powerful industry-standard tools to unlock new, actionable insight from your existing data | Alex Galea | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789532029 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.