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Student Performance using XGBoost and CatBoost #206

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ayushijainn111 opened this issue Oct 10, 2024 · 4 comments · Fixed by #216
Closed

Student Performance using XGBoost and CatBoost #206

ayushijainn111 opened this issue Oct 10, 2024 · 4 comments · Fixed by #216

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@ayushijainn111
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Is your feature request related to a problem? Please describe.
It is a student performance analysis using XGBoost and CatBoost

Describe the solution you'd like
Here, we check how different factors affect students academic performance and how can one deal with it.

Describe alternatives you've considered
checking the feature parameters and the factors affecting the growth.

Approach to be followed (optional)
data preprocessing, EDA, feature analysis, feature engineering, XGBoost and CatBoost.

Additional context
It would be great if i could contribute!

@ayushijainn111 ayushijainn111 added the enhancement New feature or request label Oct 10, 2024
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Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR, please make sure to:

  • ⭐ Star the repository if you haven't already.
  • Pull the latest changes to avoid any merge conflicts.
  • Attach before & after screenshots in your PR for clarity.
  • Include the issue number in your PR description for better tracking.
    Don't forget to follow @UppuluriKalyani – Project Admin – for more updates!
    Happy open-source contributing!☺️

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Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.

@UppuluriKalyani
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@ayushijainn111 proceed!

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Hello @ayushijainn111! Your issue #206 has been closed. Thank you for your contribution!

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2 participants