Football Score prediction using Deep learning methods

ARJUN CHETTIYATTIL PANKAJ

Diplomová práce

Abstract:

The major aim of the work is to use convolutional neural network to predict the outcome of the football match result of Spanish first division football league using the historical dataset available from the season 2013-14 till 2017-18. The Possible outcomes are classified into win, draw or lose. The work has been done using Convolutional Neural Network algorithm with the help of several opensource libraries to implement deep learning framework. The programming language used to perform the tasks is Python programming language. The ultimate goal of the work is to predict the result with an accuracy as close as a prediction from a football domain expert. The result of the work is verified and conclusion drawn.

Keywords

Classification, CNN, RNN, Keras, Convolution layer, Football result prediction, sport results, Artificial intelligence, Deep learning

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 30. 3. 2022

Obhajoba závěrečné práce

• Vedoucí: doc. Ing. Arnošt Veselý, CSc.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Magisterský studijní program / obor:
Systems Engineering and Informatics / Informatics