Predicting the popularity of songs using Random Forest regressions

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Keywords	Music, Analytics, Streaming, Machine Learning, Random Forest, Ensemble Methods, Song Popularity
Thesis Advisor	Szymanowski, Maciej, Wan, Charles
Persistent URL	hdl.handle.net/2105/57524
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Pflüger, Julien. (2021, July 15). Predicting the popularity of songs using Random Forest regressions. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/57524

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