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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorTorres Batista, Nelliud D.
dc.contributor.authorGarcía Matos, Javier A.
dc.date.accessioned2024-01-11T12:57:58Z
dc.date.available2024-01-11T12:57:58Z
dc.date.issued2023
dc.identifier.citationGarcía Matos, J. A. (2023). Probability Analysis with Web Scraping and Linear Regression [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1993
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractSince the dawn of sports, probability and trends have played an important role in predicting the outcome of an event. It gives the public a general idea of how the match will occur, providing a powerful tool in analytics. This project intends to extract raw tennis match data from verified sources and apply mathematical equations to predict the probability of the outcome of a particular match. Firstly, with the help of the programming language Python and a popular technique known as web scraping, the data can be extracted from a verified source, such as the Association of Tennis Professionals (ATP), and validated. After the data is extracted, in this project, three different algorithms will be applied, with the goal of predicting the outcome of a particular tennis match. These algorithms are known as linear regression (decision tree, ridge, and lasso) and are made with the programming language Python. There will be a section describing each equation in detail and how it works. Finally, the results will show which of the equations best predicted the outcome of the different matches and conclusions will be drawn based on the results of each equation. Key Terms ¾ ATP, linear regression, Python, web scraping.en_US
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Engineering;
dc.relation.ispartofseriesFall-2023;
dc.relation.haspartSan Juanen_US
dc.subject.lcshTennis--Rulesen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Postersen_US
dc.subject.lcshPython (Computer program language)
dc.subject.lcshRegression analysis
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Posters
dc.titleProbability Analysis with Web Scraping and Linear Regressionen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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