Resumen

ARAYA CORY, Albert Omar  y  AGUILAR FERNANDEZ, José Antonio. Visualization and analysis of Fifa 2021 teams applying Machine Learning algorithms. Rev. Inv. Est. I. [online]. 2020, vol.12, n.1, pp. 13-34. ISSN 2415-2323.

Abstract The objective of this research is to carry out a comparative analysis on the characteristics of FIFA soccer players between the years 2020 - 2021 and real life. For the development of this research, two videogame dataseis were used. Data visualization methods were applied with Python and an analysis was carried out for the detection of anomalies using unsupervised learning algorithms.

Palabras llave : Pandas; Numpy; Seaborn; Scikit-Learn; Matplotlib; Dataset; Video Game; Clustering; Soccer; Python.