Raul Garcia

1 month ago | medium.com | Raul Garcia |Raúl García

In this article, we explore how a Logistic Regression model was developed using Python and real-world data from the 2024 Monaco Grand Prix to investigate whether machine learning can help forecast race outcomes. The model was designed to predict the 2025 winner using features like qualifying position, pre-race championship standings, team identity, pit stop strategy (including the lap and number of stops), and even real-time weather data from the 2024 race.

1 month ago | medium.com | Raul Garcia |Raúl García

The application of machine learning in sports analytics offers valuable insights into performance prediction and strategy optimization. This article demonstrates, for educational purposes, how linear regression, a fundamental machine learning algorithm, can be used to model and predict Formula 1 race outcomes.

Feb 21, 2025 | mdpi.com | Mariam El Gharbi |Raul Garcia |Raúl García |Ignacio Gil |Jamal Abounasr

1. IntroductionFood safety and quality are critical aspects of global public health and food security. The increasing complexity of food supply chains, coupled with growing consumer demand for fresh, high-quality products, requires robust monitoring systems [1].