Bibliografia

Pedregosa et al. (2011) Scikit-learn: Machine Learning in Python Pedregosa et al.(2011) Scikit-learn: Machine Learning in Python, JMLR 12, pp. 2825-2830
Albon, C. (2018) Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Albon, C. (2018). Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (1 edition). Sebastopol, CA: O’Reilly Media.
Downey, A. (2016) Think Python. How to think like a Computer scientist Downey, A. B. (2016). Think Python. 2nd Edition. O’Reilly Media, Inc.

Costa, C. J., & Aparicio, J. T. (2020) POST-DS: A Methodology to Boost Data Science Costa, C. J., & Aparicio, J. T. (2020). POST-DS: A Methodology to Boost Data Science. In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE