The analysis is done on the music dataset that spans the playlists from the year 1922-2021.The prediction is performed about the different genre that the majority of the user's listen to.The genre's acousticness, danceability,energy,loudness and speechiness are evaluated and the subsequent popularity is measured based on these parameter's. It further looks into the correlation of loudness and energy,the songs that released over years marginal rate and the most preferred genre's over the year's.
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Analysis the various patterns of genre people listen to,their popularity and acoustic features
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