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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 35,19
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 40,53
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Añadir al carritoPaperback. Condición: New. Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts such as SVM, KNN classifiers, and Random ForestsDiscover how you can use web scraping to gather and parse your own bespoke datasetsBook DescriptionGetting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data. You'll start with the basics of Jupyter, which will be the backbone of the book. After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis. In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. Finally, the book ends by looking at data collection techniques. You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.What you will learnGet up and running with the Jupyter ecosystemIdentify potential areas of investigation and perform exploratory data analysisPlan a machine learning classification strategy and train classification modelsUse validation curves and dimensionality reduction to tune and enhance your modelsScrape tabular data from web pages and transform it into Pandas DataFramesCreate interactive, web-friendly visualizations to clearly communicate your findingsWho this book is forApplied Data Science with Python and Jupyter is ideal for professionals with a variety of job descriptions across a 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 such as Pandas, Matplotlib, and Pandas providing you a useful head start.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 38,59
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Añadir al carritoCondición: New. pp. 192.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 34,78
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Idioma: Inglés
Publicado por Packt Publishing 2018-10-31, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Chiron Media, Wallingford, Reino Unido
EUR 34,46
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 41,71
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Rarewaves.com UK, London, Reino Unido
EUR 34,61
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Añadir al carritoPaperback. Condición: New. Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts such as SVM, KNN classifiers, and Random ForestsDiscover how you can use web scraping to gather and parse your own bespoke datasetsBook DescriptionGetting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data. You'll start with the basics of Jupyter, which will be the backbone of the book. After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis. In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. Finally, the book ends by looking at data collection techniques. You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.What you will learnGet up and running with the Jupyter ecosystemIdentify potential areas of investigation and perform exploratory data analysisPlan a machine learning classification strategy and train classification modelsUse validation curves and dimensionality reduction to tune and enhance your modelsScrape tabular data from web pages and transform it into Pandas DataFramesCreate interactive, web-friendly visualizations to clearly communicate your findingsWho this book is forApplied Data Science with Python and Jupyter is ideal for professionals with a variety of job descriptions across a 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 such as Pandas, Matplotlib, and Pandas providing you a useful head start.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 41,10
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 38,64
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Majestic Books, Hounslow, Reino Unido
EUR 39,71
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Añadir al carritoCondición: New. Print on Demand pp. 192.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 40,50
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 192.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 42,83
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: moluna, Greven, Alemania
EUR 44,27
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Applied Data Science with Python and Jupyter teaches you the skills you need for entry-level data science. 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 .
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 47,56
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Librería: preigu, Osnabrück, Alemania
EUR 46,00
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Añadir al carritoTaschenbuch. Condición: Neu. Applied Data Science with Python and Jupyter | Alex Galea | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789958171 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.