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
179 stars 215 forks source link

Social Media Recommendation by UI Interface Module #608

Open ldneal opened 4 weeks ago

ldneal commented 4 weeks ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Social Media Recommendation :red_circle: Aim : To check social media user post like & comment :red_circle: Dataset : UI Interface Moduel :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.


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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

github-actions[bot] commented 4 weeks ago

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

ldneal commented 4 weeks ago

Hi Sir I have work on this project & this is my best top project can you assign me in SSOC 3 as a contributor.

abhisheks008 commented 4 weeks ago

You are planning to create a whole project based on machine learning techniques. Implement 5-6 models for this project, and find out the best fitted model for this project based on the accuracy score.

In addition to this, you are planning to implement a web app for the front end of the project.

Is this the whole thing you are planning?

@ldneal

ldneal commented 4 weeks ago

Yes Sir this is my best project in my top 10 datathrone event

abhisheks008 commented 4 weeks ago

Yes Sir this is my best project in my top 10 datathrone event

Assigned @ldneal

Make sure you implement at least 5-6 models.

ldneal commented 4 weeks ago

Thank You Sir @abhisheks008