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Treball de fi de grau

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memòria: cc-nc-nd (c) Oriol Villanova Medina, 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/210841

Implemetación de una aplicación web para el aprendizaje de machine learning

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[en] In today's society, machine learning (ML) plays a vital role, but understanding it can be challenging. AprendeML addresses this with an interactive web platform that makes ML knowledge accessible to more people. Motivated by personal and academic challenges, AprendeML is not just an e-learning platform, but an experience that simplifies the understanding of ML algorithms. The project seeks to establish a solid base to understand ML. In its development, AprendeML successfully creates a complete web application, highlighting scalable development and an easy-to-understand interface. This project reflects the commitment to make ML knowledge accessible, contributing to the evolving panorama of online education. The research presents the results of a project to design and implement a web education application in ML. It includes algorithm creation and data management. The goal is to provide an interface that facilitates understanding of ML, especially for students. Implementation uses tools to improve portability and eliminate problems. The research offers a vision of the successful execution of AprendeML, contributing to the field of online education and accessibility to machine learning. In future work I could explore additional features and improvements for the AprendeML experience. The project has successfully achieved its main goal of creating a web application from scratch, addressing everything, from planning to final launch. The achievement of almost all of the initial objectives and requirements highlights the success of the project.

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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2024, Director: Eloi Puertas i Prats

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VILLANOVA MEDINA, Oriol. Implemetación de una aplicación web para el aprendizaje de machine learning. [consulta: 10 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/210841]

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