Jul 29, 2022 · Specifically, we download and analyze (a) over 8M notebooks publicly available on GITHUB and (b) over 2M enterprise ML pipelines developed ...
Although the majority of the notebooks includes ML operations, at least 34% of them involve data processing and visualization but no ML operations. Next, we ...
Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
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Mar 1, 2022 · In this paper, we set out to capture this panorama through a wide-angle lens, performing the largest analysis of DS projects to date, focusing ...
In this paper, we set out to capture this panorama through a wide-angle lens, performing the largest analysis of DS projects to date, focusing on questions that ...
Jul 6, 2022 · Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel.
2020. Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines. F Psallidas, Y Zhu, B Karlas, J Henkel, M ...
Dec 19, 2019 · For our analysis we leverage all publicly available notebooks from GITHUB, a large dataset of data science pipelines from within COMPANYX, and ...
Dec 19, 2019 · Specifically, we download and analyze: (a) over 6M Python notebooks publicly available on GITHUB, (b) over 2M enterprise DS pipelines developed ...
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan ...
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML. NET Pipelines. F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi ...