Built a Song Recommendation System using both content-based and collaborative filtering on 10GB subset of MSD (Million Song Data) with a precision of 6.1%. Also performed trend analysis and visualization on MSD across the years, varying from song popularity to loudness. Used: Apache Spark, Python
prachi108/Million-Song-Project
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Built a Song Recommendation System using both content-based and collaborative filtering on 10GB subset of MSD (Million Song Data) with a precision of 6.1%. Also performed trend analysis and visualization on MSD across the years, varying from song popularity to loudness. Used: Apache Spark, Python
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