O impacto da análise de dados no desempenho das equipes de fórmula 1

Abstract

This undergraduate thesis aims to investigate the application of data analysis and machine learning in the context of Formula 1. Formula 1 is a highly technical and competitive competition where the pursuit of performance is constant. The use of advanced technologies, such as data analysis and machine learning, has become a crucial part in optimizing team performance. The specific objectives of this work are to analyze the competitive benefits and advantages provided by data analysis and machine learning in Formula 1, and to examine the role of telemetry and other technologies used for this purpose. Descriptive and explanatory methodology was employed. The research results provide valuable insights into how data analysis and machine learning can positively impact the performance of Formula 1 teams, contributing to continuous evolution and competitiveness in this demanding and dynamic scenario.