This repository contains the files for the Portfolio task for COMP2200/6200 in S2 2021.

Created by: Name: Nicholas Brennan Student No.: 46030158

Portfolio 1 contains data and analysis of an indiviual rider in a bicycle races done in Calaga in the years 2016 and 2019. Using basic data analysis and visualisation techniques the project provides the following analysis:

• Basic race information incuding, distances, heart rates, speeds etc.
• Compairs data between all races.
• Determines which races are more physically demanding than others.
• The gear ranges used by the rider.

The goal of this Portfolio task is to explore data from the Federal Government Sport Vouchers program in South Australian and provides interesting data analysis on:

• Voucher distribution through South Australia
• Chosen sports within the voucher program
• Detemines if any LGA's are over/under represented by the program
• Looks for any relationship between LGA voucher use and SEIFA scores
• Basic comparison between South Australia and Queensland's voucher use

Portfolio 3 goal is to create and evaluate potential predictive models to predict customer churn for a telecom company. The data is fake but realistic data on Mobile Customer Churn. I used three models to create and evaluate:

1. Logistic Regression
2. K Nearest Neighnors Classifier
3. Random Forest Classifier