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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!
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: New.
Language: English
Published by Packt Publishing 5/29/2018, 2018
ISBN 10: 1789532027 ISBN 13: 9781789532029
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data. Book.
Condition: As New. Unread book in perfect condition.
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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!
Language: English
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1789532027 ISBN 13: 9781789532029
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 25.43
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Add to basketDigital. Condition: 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.
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!
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Language: English
Published by Packt Publishing 2018-06-05, 2018
ISBN 10: 1789532027 ISBN 13: 9781789532029
Seller: Chiron Media, Wallingford, United Kingdom
US$ 19.56
Quantity: 10 available
Add to basketPaperback. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 24.74
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Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 23.03
Quantity: Over 20 available
Add to basketCondition: New.
Language: English
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 42.26
Quantity: Over 20 available
Add to basketPaperback. Condition: 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.
Condition: New.
Condition: New.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 26.50
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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!
Condition: As New. Unread book in perfect condition.
Condition: New.
Condition: New.
Language: English
Published by Packt Publishing 2018-10-31, 2018
ISBN 10: 1789958172 ISBN 13: 9781789958171
Seller: Chiron Media, Wallingford, United Kingdom
US$ 36.14
Quantity: 10 available
Add to basketPaperback. Condition: New.