Jupyter Kernels

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Рецензии

4.5 (21,939 ratings)

  • 5 stars
    67,72 %
  • 4 stars
    21,90 %
  • 3 stars
    6,57 %
  • 2 stars
    2,04 %
  • 1 star
    1,74 %

TY

25 сент. 2020 г.

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The course is interesting. It presents large spectrum of tools. It could be more helpful to provide general information on different tools and focus on few of them such as R, GitHub for example.

SH

31 янв. 2019 г.

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All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

Из урока

Open Source Tools

This week, you will learn about three popular tools used in data science: GitHub, Jupyter Notebooks, and RStudio IDE. You will become familiar with the features of each tool, and what makes these tools so popular among data scientists today.

Преподаватели

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    Aije Egwaikhide

    Senior Data Scientist

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    Svetlana Levitan

    Senior Developer Advocate with IBM Center for Open Data and AI Technologies

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    Romeo Kienzler

    Chief Data Scientist, Course Lead

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