Data Science and Machine Learning with Python
The Data Science and Analytics Project is an international research project based on classroom materials for the Statistics class lectures taught by Carlos Pedro Gonçalves (https://orcid.org/0000-0002-0298-3974) at the Bachelor in Aeronautical Management (https://www.ulusofona.pt/en/undergraduate/aeronautical-management) at Lusophone University of Humanities and Technologies’ School of Economic Sciences and Organizations.
The project's webinars are available on the present website as well as on Youtube in the following playlist:
https://youtube.com/playlist?list=PLmLUR-kyF1qVVBeLSiNUu5kpGTk84EYZ8
Linked R&D Projects:
The project is linked to the following international R&D projects:
Chaos Theory and Complexity Sciences
https://sites.google.com/view/chaos-complexity
Artificial Intelligence for Risk Analytics
https://sites.google.com/view/ai-for-risk-analytics
Artificial Intelligence and Game Theory
https://sites.google.com/view/ai-and-game-theory
Publications
Gonçalves C.P. & Rouco J. (2021). Comparing Decision Tree-Based Ensemble Machine Learning Models for COVID-19 Death Probability Profiling. JJ Vaccines Vaccin, Vol. 12 Iss. 1 No: 1000441: https://www.walshmedicalmedia.com/open-access/comparing-decision-treebased-ensemble-machine-learning-models-for-covid19-death-probability-profiling.pdf
Gonçalves C.P. (2022). Quantum Neural Networks, Computational Field Theory and Dynamics. Int J Swarm Evol Comput, Vol. 11 Iss. 4 No: 1000246: https://www.walshmedicalmedia.com/open-access/quantum-neural-networks-computational-field-theory-and-dynamics.pdf
Gonçalves C.P. (2022). Coupled Stochastic Chaos and Multifractal Turbulence in an Artificial Financial Market. Int J Swarm Evol Comput, Vol. 11 Iss. 7 No: 1000261: https://www.walshmedicalmedia.com/open-access/coupled-stochastic-chaos-and-multifractal-turbulence-in-an-artificial-financial-market.pdf
Gonçalves C.P. (2022). Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data. Int J Swarm Evol Comput, Vol. 11 Iss. 9 No: 1000271: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in--sarscov2s-regional-epidemiological-data.pdf
Gonçalves C.P. (2023). Low Dimensional Chaotic Attractors in Daily Hospital Occupancy from COVID-19 in the USA and Canada. Int J Swarm Evol Comput, Vol. 12 Iss. 01 No: 1000291: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in-daily-hospital-occupancy-from--covid19-in-the-usa-and-canada.pdf
About the Author:
Carlos Pedro Gonçalves
Associate Professor at Lusophone University of Humanities and Technologies - School of Economic Sciences and Organizations - Department of Management on Civil Aviation and Airports.
Integrated Researcher at The Transdisciplinary Research Center of Innovation & Entrepreneurship Ecosystems (TRIE), researching on Complexity Sciences, Chaos Theory, Risk Science, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk.