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Scikit-Learn

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New York: Packt Publishing, 2017. — 368 p. About This Book Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works Use Scikit-Learn to simplify the programming side data so you can focus on thinking Discover how to apply algorithms in a variety of situations Who This Book Is For If you're a data scientist...
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Amazon Digital Services LLC, 2018. This book is a guide for you on how to use Scikit-Learn, a machine learning library for Python programming language. The author first helps you know what Scikit-Learn are and how to set it up on your system. You are also guided on how to load datasets into Scikit-Learn. The author has then guided you on how to use the various machine learning...
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Packt Publishing, 2017. — 530 p. — ISBN: 978-1788833479. About This Book Use Python and scikit-learn to create intelligent applications Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning...
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Packt Publishing, 2017. — 530 p. — ISBN: 978-1788833479. !Only code files About This Book Use Python and scikit-learn to create intelligent applications Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain A practical, example-based guide to help you gain expertise in implementing and evaluating...
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Packt Publishing, 2017. — 530 p. — ISBN: 978-1788833479. Use Python and scikit-learn to create intelligent applications Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning systems using...
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Packt Publishing, 2017. — 530 p. — ISBN: 978-1788833479. Use Python and scikit-learn to create intelligent applications Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning systems using...
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Packt Publishing, 2017. — 530 p. — ISBN: 978-1788833479. Use Python and scikit-learn to create intelligent applications Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning systems using...
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First Edition — O’Reilly, May 2022 — 511 p. — ISBN: 978-1-098-10293-7. Essential Math for Data ScienceTake Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics Book description Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability,...
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Apress, 2019. — 246 p. — ISBN: 1484253728. Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you...
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Apress, 2019. — 208 p. — ISBN-13 (electronic): 978-1-4842-5373-1. Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms....
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Apress, 2019. — 208 p. — ISBN-13 (electronic): 978-1-4842-5373-1. Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms....
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Apress, 2019. — 208 p. — ISBN-13 (electronic): 978-1-4842-5373-1. Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms....
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Apress, 2019. — 247 p. — ISBN13: 978-1-4842-5372-4. Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to...
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AI Publishing LLC, 2021. — 339 p. — ISBN: 978-1-7347901-5-3. Python for Data Scientists — Scikit-Learn Specialization Scikit-Learn, also known as Sklearn, is a free, open-source machine learning (ML) library used for the Python language. In February 2010, this library was first made public. And in less than three years, it became one of the most popular machine learning...
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