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Pull Request for ML-Crate 💡
Issue Title: Music Recommender System
Closes: #589
Describe the add-ons or changes you've made 📃
The solution is implemented with technologies like Scikit-learn, Scipy, Spotipy, etc.
I used Kaggle datasets for training purposes.
Performed the necessary data pre-processing and exploratory data analysis.
Trained the model K-means clustering and dimensionality reduction with PCA and t-SNE.
I checked the trained model with euclidean distance, spatial distance, and other similarity metrics.
At the end, model prediction is done using Spotipy (the Python library for the Spotify Web API).
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
The changes that I have made have been thoroughly tested in my local VS code as well as the Google collab. I also added proper requirements in the requirements.txt file for reproducibility on other machines too. Also, model graphs are added, and model prediction is added to prove the working of the code.
Checklist: ☑️