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Matchday Outcome Prediction

Date

December 2018

Project Type

Programming for Business Analytics University Group Project

Description

This project was a university group project for my Programming for Business Analytics module. The task in hand was to analyze a large dataset in the context of business analytics, and produce insight that could be valuable to companies operating in a field of our choice. We decided to analyze English Premier League match data from the past 13 years in order to measure different factors that affect a football game's full time result. The insight we produced could be deemed useful by betting companies due to its statistical nature.

Intro.png

Download the full  PDF here:

Below are the coding sections of the project I was responsible for

DataCleaning1.png
DataCleaning2.png
DataCleaning3.png
DataCleaning4.png
Correlation Matrix1.png
Correlation Matrix2.png
Correlation Matrix3.png
Feature Histograms1.png
histograms2.png
PctCalculation.png
PctCalculation2.png
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