guillecartes/Padel-Shot-Classification-and-Dataset

This study is the final project of Guillermo Cartes Domínguez, tutored by Daniel Gutiérrez Reina, Alejandro Tapia Córdoba and Evelia Franco Álvarez. 13 different padel shots are recorded in a dataset with more than 2000 shots. A comparison between some of the main machine learning algorithms that aim to classify padel shots is carried out. These algorithms are neural networks, convolutional neural networks 1D, decision tree, K nearest neighbors and support vector machine. You can see a video explanation in https://youtu.be/UO_WZ40g1Io

Python