Predicting the popularity of songs using Random Forest regressions

Additional Metadata
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 APA Style APA-ALL Style AAA 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). Predicting the popularity of songs using Random Forest regressions. In Business Analytics & Management.http://hdl.handle.net/2105/57524

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