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Project # 29
A Model to Predict Lap Times of Formula 1 2022 Season Using Machine Learning

Team Lead: Juventino Herrera
Other Team Members: Rosangela Caicedo | Jesus Balderrama | Andrea De Leon | Hala Marardeh | Araceli Najera | David Patron
Faculty Advisor(s): Aera Leboulluec
Department: IMSE
Project Type: Other Undergraduate
Title: A Model to Predict Lap Times of Formula 1 2022 Season Using Machine Learning
Abstract: The research provide utilizes Formula 1 data on lap times throughout the Formula 1 2022 season. Using Machine learning, the study aims to model and predict future Formula 1 lap times on various circuits.
Poster: View Poster #29 (PDF)
Judges Scoring: Submit Evaluation (judges only)