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Data Science Workshop eBook

A New, Interactive Approach To Learning Data Science

by Andrew Worsley, Thomas Joseph, Anthony So, Robert Thas John, Ivan Liu, Tiffany Ford, Pritesh Tiwari, Barbora Stetinova e Dr. Samuel Asare
language: english
Publisher: PACKT PUBLISHING, January of 2020 ‧
37,09€
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Ebook for ADE
Key Features
  • Ideal for the data science beginner who is getting started for the first time
  • A data science tutorial with step-by-step exercises and activities that help build key skills
  • Structured to let you progress at your own pace, on your own terms
  • Use your physical print copy to redeem free access to the online interactive edition
    • What you will learn

    • Find out the key differences between supervised and unsupervised learning
    • Manipulate and analyze data using scikit-learn and pandas libraries
    • Learn about different algorithms such as regression, classification, and clustering
    • Discover advanced techniques to improve model ensembling and accuracy
    • Speed up the process of creating new features with automated feature tool
    • Simplify machine learning using open source Python packages
      • Who this book is for

        Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.]]>

Data Science Workshop

A New, Interactive Approach To Learning Data Science

by Andrew Worsley, Thomas Joseph, Anthony So, Robert Thas John, Ivan Liu, Tiffany Ford, Pritesh Tiwari, Barbora Stetinova e Dr. Samuel Asare

Property Description
ISBN: 9781838983086
Publisher: PACKT PUBLISHING
Release Date: January of 2020
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Computing > Schedule
eBooks in English > Others
EAN: 9781838983086
Acessibilidade: Ver características de acessibilidade indicadas pelo editor