Bibliografia

Mueller, J. P. (2019). Python for Data Science for Dummies, 2nd Edition (2.a ed.). John Wiley & Sons. Grus, J. (2019). Data science from scratch: First principles with python (2.a ed.). O?Reilly Media. Raschka, S. & Mirjalili, V. (2019). Python Machine Learning : Machine Learning and Deep Learning With Python, Scikit-Learn, And Tensorflow. Birmingham: Packt Publishing, Limited. Avila, J. (2017). Scikit-Learn Cookbook - Second Edition. Birmingham: Packt Publishing. Theobald, O. (2017). Machine Learning for Absolute Beginners: A Plain English Introduction. United States. Ller, A. & Guido, S. (2017). Introduction To Machine Learning with Python: A Guide for Data Scientists. Sebastopol, CA: O'Reilly Media, Inc. VanderPlas, J. (2016). Python Data Science Handbook. O?Reilly Media.:

McKinney, W. (2022). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter (3.a ed.). O?Reilly Media. Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, And Tensorflow : Concepts, Tools, And Techniques to Build Intelligent Systems. Sebastopol, CA: O'Reilly Media, Inc.: