abhisheks008 / ML-Crate

ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9

https://quine.sh/repo/abhisheks008-ML-Crate-409463050

MIT License

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Implemented Student attendance model #535

Closed rajneeshkabdwal4 closed 5 months ago

rajneeshkabdwal4 commented 5 months ago

Pull Request for ML-Crate 💡

Issue Title: Student Attendance based on Weather Conditions

Info about the related issue (Aim of the project) : Developement of a Machine Learning Model used to predict Student Attendance. Rajneesh Kabdwal rajneeshkabdwal4 Mentee

Closes: #514

Describe the add-ons or changes you've made 📃

Implemented following ML models: Random forest Decision tree Logistic regression Lasso Ridge Gradient boosting XgBoost MLP

Give a clear description of what have you added or modifications made

Type of change ☑️

What sort of change have you made:

[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Code style update (formatting, local variables)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested Describe how have you verified the changes made

Checklist: ☑️

[ ] My code follows the guidelines of this project.
[ ] I have performed a self-review of my own code.
[ ] I have commented my code, particularly wherever it was hard to understand.
[ ] I have made corresponding changes to the documentation.
[ ] My changes generate no new warnings.
[ ] I have added things that prove my fix is effective or that my feature works.
[ ] Any dependent changes have been merged and published in downstream modules.

github-actions[bot] commented 5 months ago

Our team will soon review your PR. Thanks @rajneeshkabdwal4 :)