Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Applied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and c...

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Detalles Bibliográficos
Autores principales: Johnston, Benjamin, Mathur, Ishita
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2680046
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author Johnston, Benjamin
Mathur, Ishita
author_facet Johnston, Benjamin
Mathur, Ishita
author_sort Johnston, Benjamin
collection CERN
description Applied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and commercial circles with in-line code running support.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Packt Publishing
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spelling cern-26800462021-04-21T18:23:16Zhttp://cds.cern.ch/record/2680046engJohnston, BenjaminMathur, IshitaApplied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learningComputing and ComputersApplied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and commercial circles with in-line code running support.Packt Publishingoai:cds.cern.ch:26800462019
spellingShingle Computing and Computers
Johnston, Benjamin
Mathur, Ishita
Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title_full Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title_fullStr Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title_full_unstemmed Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title_short Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
title_sort applied supervised learning with python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
topic Computing and Computers
url http://cds.cern.ch/record/2680046
work_keys_str_mv AT johnstonbenjamin appliedsupervisedlearningwithpythonusescikitlearntobuildpredictivemodelsfromrealworlddatasetsandprepareyourselfforthefutureofmachinelearning
AT mathurishita appliedsupervisedlearningwithpythonusescikitlearntobuildpredictivemodelsfromrealworlddatasetsandprepareyourselfforthefutureofmachinelearning

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