Jamba Academy, 2023. — 423 p. — ISBN-13: 978-1960833044. Are you ready to dive into the world of Python Machine Learning? Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of Machine Learning and the powerful...
Jamba Academy, 2023. — 423 p. — ISBN-13: 978-1960833044. Are you ready to dive into the world of Python Machine Learning? Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of Machine Learning and the powerful...
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...
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...
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...
Методические рекомендации. — Воронеж : Воронежский институт МВД России, 2021. — 51 с. В методических рекомендациях приводится методика обработки данных экспертных оценок с использованием оригинальных алгоритмов на основе slice-матриц. Предназначены для слушателей факультета переподготовки и повышения квалификации, обучающихся по дополнительным профессиональным программам...
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...
Apress, 2019. — 208 p. — ISBN13: (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....
Apress, 2019. — 208 p. — ISBN13: (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....
Apress, 2019. — 208 p. — ISBN13: (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....
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...
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...
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...
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...
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...
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...
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...