TRAP@NCI

Analysis on the horse racing industry: Technical Report

Redmond, James (2018) Analysis on the horse racing industry: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

[img]
Preview
PDF (Bachelor of Science)
Download (1MB) | Preview

Abstract

This project involved the implementation of Betfairs API in order to obtain sufficient horse racing data. The primary aim of the project was to implement the data gathered from the API and create a horse rating system and to test the system based off results of races. This report describes and evaluates a range of different areas relating to the overall solution.

The main source of data for the project came from the Betfair API, problems were encountered with obtaining the data as the API is so broad and hard to understand, programs were written in Python to pull the data and automate the download and extraction process to speed up data extraction. The KDD approach was followed when analysing the data. Several algorithms were used for a predictive model. Some small concept programs were written in Python to test the code and application. R was used for the analysis of the data and creating the predictive models for the solution. R shiny was used to create an interactive application allowing the user to look and interact with the data. The visualization of the data allows users to understand the project and data much more and is also easier to pick up on trends within the data. Problems were encountered to obtain sufficient data from the API that would allow for a good solution, this had an impact on the overall project.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

S Agriculture > SF Animal culture > Horses > Horse Sport > Horse Racing
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 08 Nov 2018 15:47
Last Modified: 08 Nov 2018 15:47
URI: http://trap.ncirl.ie/id/eprint/3498

Actions (login required)

View Item View Item