A comparative study on machine learning based marketing mix modelling: Comparing the performance and applications of regression methods and Random Forest

Additional Metadata
Keywords	Machine Learning; Artificial Intelligence; Big Data; Marketing; Marketing Mix; Random Forest; OLS Reression
Thesis Advisor	Karpienko, R
Persistent URL	hdl.handle.net/2105/60750
Series	Business Economics
Organisation	Erasmus School of Economics
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	Mohaghegh, A. (2022, January 18). A comparative study on machine learning based marketing mix modelling: Comparing the performance and applications of regression methods and Random Forest. Business Economics. Retrieved from http://hdl.handle.net/2105/60750

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