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[Feature Request]: Add ML Snippets Folder for Reusable Data Preprocessing Steps #16

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770navyasharma opened this issue Oct 5, 2024 · 5 comments · Fixed by #398
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Contributor good first issue Good for newcomers gssoc-ext hacktoberfest Issues or PRs that qualify for Hacktoberfest contributions. level2

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@770navyasharma
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Is there an existing issue for this?

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Feature Description

I would like to propose adding a new folder titled ML_Snippets to the repository. This folder will contain a Jupyter Notebook that showcases the most reusable data preprocessing steps commonly used in machine learning projects. The aim is to provide a quick reference for users looking for efficient ways to prepare their data for modeling.

I would like to have this issue assigned to me as part of the Hacktoberfest and GSSoC initiatives, preferably at Level 2 or 3.

Thank you for considering this addition! I look forward to your feedback.

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github-actions bot commented Oct 5, 2024

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

Feel free to join our community on Discord to discuss more!

@UTSAVS26
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UTSAVS26 commented Oct 5, 2024

Thank you for your proposal to add the ML_Snippets folder to the PySnippets repository. However, to maintain consistency with the main idea of deploying PySnippets as a package, we recommend writing the reusable data preprocessing steps as Python files (.py) instead of a Jupyter Notebook.

This approach will allow users to easily import the snippets directly into their projects and integrate them seamlessly into their workflows. If you could revise your submission accordingly, that would be great!

We look forward to your contribution!

@770navyasharma
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Suree

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github-actions bot commented Nov 9, 2024

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!

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github-actions bot commented Nov 9, 2024

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!

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