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spotify1m-songs.zip		spotify1m-songs.zip

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Spotify-Recommendations

Based on Kaggle Notebooks

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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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