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Data Science Fundamentals Python by Paper David (37 results)
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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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 0.72.
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paperback. Condition: New.
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Condition: New.
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US$ 23.38
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Paperback or Softback. Condition: New. Data Science Fundamentals for Python and Mongodb 0.72. Book.
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Paperback or Softback. Condition: New. Hands-On Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python 1. Book.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Add to basketPaperback. Condition: Brand New. 214 pages. 9.00x6.25x0.50 inches. In Stock.
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Data Science Fundamentals for Python and MongoDB
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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First Edition
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Add to basketPaperback. Condition: New. 1st ed. Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained.Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is "rocky" at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll LearnPrepare for a career in data scienceWork with complex data structures in PythonSimulate with Monte Carlo and Stochastic algorithmsApply linear algebra using vectors and matricesUtilize complex algorithms such as gradient descent and principal component analysisWrangle, cleanse, visualize, and problem solve with dataUse MongoDB and JSON to work with dataWho This Book Is ForThe novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
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Data Science Fundamentals for Python and MongoDB
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Science Fundamentals for Python and MongoDB
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Data Science Fundamentals for Python and MongoDB
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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DATA SCIENCE FUNDAMENTALS FOR PYTHON AND MONGODB-
Published by Apress, Incorporated, 2018
ISBN 10: 1484235967 ISBN 13: 9781484235966
Language: English
Condition: New. pp. 228.
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Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals With Python
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US$ 51.22
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Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals With Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 55.27
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Add to basketPaperback. Condition: Brand New. 242 pages. 10.00x7.00x0.50 inches. In Stock.
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.43
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US$ 73.91
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Data Science Fundamentals for Python and MongoDB
Published by Apress, Apress Mai 2018, 2018
ISBN 10: 1484235967 ISBN 13: 9781484235966
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 42.36
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Add to basketTaschenbuch. Condition: Neu. Neuware -The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn¿t required because complete examples are provided and explained.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 228 pp. Englisch.
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Data Science Fundamentals for Python and MongoDB
First Edition
US$ 51.01
Convert currencyUS$ 87.95 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 1st ed. Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained.Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is "rocky" at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll LearnPrepare for a career in data scienceWork with complex data structures in PythonSimulate with Monte Carlo and Stochastic algorithmsApply linear algebra using vectors and matricesUtilize complex algorithms such as gradient descent and principal component analysisWrangle, cleanse, visualize, and problem solve with dataUse MongoDB and JSON to work with dataWho This Book Is ForThe novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
