🎵 A Python-based content recommendation system utilizing ML algorithms and matrix factorization techniques to analyze 600k-song dataset. Combines SVD, NMF, Factorization Machines, and Direct Similarity for personalized music suggestions. Handles cold start, optimizes with weighted similarity, and includes tools for visualization & evaluation.
machine-learning numpy scikit-learn pandas data-visualization audio-analysis matrix-factorization dimensionality-reduction data-analysis similarity-measures user-modeling music-metadata user-preferences content-based-filtering recommendation-systems vector-space-models computational-efficiency data-preprocessing-and-cleaning genre-analysis latent-space-visualization
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Updated
May 10, 2025 - Jupyter Notebook