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spotify-dataset

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virajbhutada / spotify-track-analysis-and-recommendation

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Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.

mysql spotify data-science sql-server eda data-visualization audio-analysis data-analytics recommendation-system data-analysis machine-learning-library sql-database tableau tableau-public spotify-data ml-models streaming-metrics spotify-dataset trends-analysis
  • Updated Oct 30, 2024
  • Jupyter Notebook

Nukaze / 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
  • Updated Oct 27, 2024
  • Jupyter Notebook

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