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In this playground I practice with libraries such as NumPy, external, Pandas, external, Scikit-Learn, external, TensorFlow, external (et. all) with a Jupyter ... them as Pandas DataFrame is ...
With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data science analysis tooling lately, previewing .NET Core with Jupyter Notebooks ...
Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...
all the way to hosted Jupyter-style notebooks for advanced users. Getting started with machine learning is hard. Even to run the most basic of experiments takes a good amount of expertise.
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