Bibliografia

Torgo, L. (2011). Data mining with R: learning with case studies. Chapman and Hall/CRC.Crawley Tattar, P., Ojeda, T., Murphy, S. P., Bengfort, B., & Dasgupta, A. (2017). Practical Data Science Cookbook. Packt Publishing Ltd.:

Provost, F., & Fawcett, T. (2013). Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc.". Miller, T. W. (2015). Marketing data science: modeling techniques in predictive analytics with R and Python. FT Press. Mathur, P. (2018). Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance. Apress. Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. " O'Reilly Media, Inc. O'Neil, C., & Schutt, R. (2013). Doing data science: Straight talk from the frontline. " O'Reilly Media, Inc.".: