Jupyter Notebook in Watson Studio - Part 2

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Bewertungen

4.5 (19,670 Bewertungen)
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  • 3 stars
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TY
25. Sep. 2020

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. Jan. 2019

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.

Aus der Unterrichtseinheit
IBM Tools for Data Science 

Unterrichtet von

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    Romeo Kienzler

    Chief Data Scientist, Course Lead
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    Svetlana Levitan

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

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