Apress.-.Hands.On.Scikit.Learn.For.Machine.Learning.Applications.2019.Retail.EPUB.eBook-BitBook
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NFO
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| P R.E S E N T S . |
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| Hands-On Scikit-Learn For Machine Learning Applications |
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| DATE: 21-03-2020 SIZE: 2.24 MB DISKS: 1x50.00MB PAGES: n/a |
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| PUBLISHER: Apress GENRE: |
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| AUTHOR: David Paper |
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| FORMAT: EPUB PROTECTION: DRM EDITION: n/a |
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| URL: https://is.gd/5e6tVd |
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| LANGUAGE: English ISBN: 9781484253731 |
: :
: 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 through the principles of :
: machine learning through clear examples written in Python that you can try :
: out and experiment with at home on your own machine. All applied math and :
: programming skills required to master the content are covered in this book :
: In-depth knowledge of object-oriented programming is not required as :
: working and complete examples are provided and explained. Coding examples :
: are in-depth and complex when necessary. They are also concise, accurate, :
: and complete, and complement the machine learning concepts introduced. :
: Working the examples helps to build the skills necessary to understand and :
: apply complex machine learning algorithms. Hands-on Scikit-Learn for :
: Machine Learning Applications is an excellent starting point for those :
: pursuing a career in machine learning. Students of this book will learn th :
: fundamentals that are a prerequisite to competency. Readers will be expose :
: to the Anaconda distribution of Python that is designed specifically for :
: data science professionals, and will build skills in the popular Scikit- :
: Learn library that underlies many machine learning applications in the :
: world of Python. What You'll Learn Work with simple and complex datasets :
: common to Scikit-Learn Manipulate data into vectors and matrices for :
: algorithmic processing Become familiar with the Anaconda distribution used :
: in data science Apply machine learning with Classifiers, Regressors, and :
: Dimensionality Reduction Tune algorithms and find the best algorithms for :
: each dataset Load data from and save to CSV, JSON, Numpy, and Pandas :
: formats Who This Book Is For The aspiring data scientist yearning to break :
: into machine learning through mastering the underlying fundamentals that :
: are sometimes skipped over in the rush to be productive. Some knowledge of :
: object-oriented programming and very basic applied linear algebra will mak :
: learning easier, although anyone can benefit from this book. :
. :
.:
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Files
| Path | Size |
| bb-hands.on.scikit.learn.for.mach.nfo | 11,01 KB |
| bb0a5ofa.zip | 2,24 MB |