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Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

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data		data
.gitignore		.gitignore
README.md		README.md
environment.yaml		environment.yaml
recommendation_cosinesim.ipynb		recommendation_cosinesim.ipynb
spotify1m-songs.zip		spotify1m-songs.zip

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Spotify-Recommendations

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Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

spotify analytics exploratory-data-analysis university-project kaggle recommendation-system tf-idf cosine-similarity kaggle-dataset content-based-recommendation correlation-analysis tf-idf-vectorizer spotify-dataset

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