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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Spotify Songs Recommendation System #298

Closed abhisheks008 closed 1 year ago

abhisheks008 commented 1 year ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Spotify Songs Recommendation System :red_circle: Aim : Create a ML model which will recommend the songs as per the taste of the users. :red_circle: Dataset : https://www.kaggle.com/datasets/corneliusjustin/spotify-songs-recommendationbinary-classification :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. 😎

aryanag7 commented 1 year ago
Full name : Aryan Agrawal
GitHub Profile Link: https://github.com/aryanag7
Participant ID : NA 
Approach for this Project : I would be using contest based filtering that determines the features which are most important for suggesting the songs.
abhisheks008 commented 1 year ago

Are you contributing here as a contributor or, as a part of any open source program? @aryanag7

aryanag7 commented 1 year ago

Hey, I'm contributing as a contributor .

abhisheks008 commented 1 year ago

That's great. Your approach looks pretty impressive. Issue assigned to you @aryanag7.

Best wishes!

abhisheks008 commented 1 year ago

Hey @aryanag7 updates regarding this issue.

aryanag7 commented 1 year ago

Hey @abhisheks008 , I'm working on the last part of the implementation and will create a PR within a week.