seculayer/AutoAPE-challenge2
Kaggle 2차년도(2021)
This is a framework for organizing and sharing the results and code from your participation in Kaggle or Dacon AI competitions. It helps you document your competition entries, including your scores, ranks, team members, and the technical approaches used. The output is a structured, easy-to-understand record of your contributions, ideal for individuals or teams participating in data science challenges.
No commits in the last 6 months.
Use this if you are a data scientist, machine learning engineer, or student participating in AI competitions and want a standardized way to document and share your submissions.
Not ideal if you are looking for a tool to develop or run your machine learning models, as this project focuses solely on documentation and submission archiving.
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66
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Jupyter Notebook
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Last pushed
Dec 16, 2022
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