Gradio for Tabular Data Science Workflows Guide#2199
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adrinjalali
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Sep 12, 2022
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| ## Introduction | ||
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| Tabular data science is the most widely used domain of machine learning, with problems ranging from customer segmentation to churn prediction. Communicating your work to stakeholders of your project or clients in various stages of tabular data science workflow is very important and can sometimes be cumbersome, preventing data scientists from focusing on what matters, data analysis and model building. Data scientists can end up spending hours building a dashboard that takes in dataframe and returning plots, or returning a prediction or plot of clusters in a dataset. In this guide, we'll go through how to use `gradio` to improve your data science workflows. We will also talk about how to use `gradio` and `skops` to build interfaces with only one line of code! |
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Left two quick comments, otherwise looks great! @merveenoyan |
freddyaboulton
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Sep 12, 2022
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Awesome guide! Thanks @merveenoyan
merveenoyan
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freddyaboulton
dawoodkhan82
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Sep 12, 2022
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Can you merge this if you approve so I can announce this :') |
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Description
This is the PR for Gradio for data science workflows guide. It includes three examples:
The below checklist doesn't really apply (but let me know if there's anything I need to pay attention to)
cc: @freddyaboulton @adrinjalali
Checklist: