Bibliografia

Field Cady, The Data Science Handbook, 2017, DOI:10.1002/9781119092919, https://onlinelibrary.wiley.com/doi/book/10.1002/9781119092919 Bradley Boehmke & Brandon Greenwell, Hands-On Machine Learning with R, 2020, https://bradleyboehmke.github.io/HOML/, https://bradleyboehmke.github.io/HOML/ Jake VanderPlas, Python Data Science Handbook, 2016, O'Reilly Media, Inc., https://jakevdp.github.io/PythonDataScienceHandbook/ José Braga de Vasconcelos e Alexandre Barão, Ciência Dos Dados Nas Organizações - Aplicações Em Python, 2017, FCA Editora, Trevor Hastie , Robert Tibshirani , Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction, 2016, https://link.springer.com/book/10.1007/978-0-387-84858-7, https://hastie.su.domains/Papers/ESLII.pdf James, G., Witten, D., Hastie, T., and Tibshirani, R., An Introduction to Statistical Learning with Applications in R (1st Ed.), 2013, Springer,:

Glenn J. Myatt and Wayne P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining", Second Edition, 2014, John Wiley & Sons, Inc., :