Trent Parkinson - Projects

NOAA Storm Database Analysis

NOAA Storm Database Analysis
This report shows how the data was processed, manipulated, and analyzed. The analysis focuses on which types of storms are most harmful to the population health resulting in injuries or fatalities, as well as what type of events have the greatest economic consequences which result in property damage or crop loss.

Predicting Weight Lifting Exercises

Predicting Weight Lifting Exercises
This report will show how the data was cleaned, processed, and manipulated in order to predict the five different exercises. The project will mainly focus on ‘Classification and Regression Trees’, ‘Random Forest’, and ‘Stochastic Gradient Boosting’ using the caret package in R.

Statistical Inference on Tooth Growth Dataset

Statistical Inference on Tooth Growth Dataset
The project provides a basic analysis of the ToothGrowth data in the R datasets package. The data gives the length of the odontoblast (teeth) in each of 10 guinea pigs at three different dosage levels (0.5, 1, and 2 mg) with two supplements (Vitamin C and Orange Juice).

NASA Meteorite Landings Map

NASA Meteorite Landings Map
The map is of all meteorite landings from 1986 through 2016 recorded by the The Meteoritical Society. The original dataset contained inaccurate data, the data was cleaned and filtered for accurate results. The landings can be displayed by 'Small', 'Medium', or 'Large' meteorites.

Motor Trend MPG Regression Model

Motor Trend MPG Regression Model
This project explores the mtcars data set and explores how miles per gallon (MPG) is affected by different variables, specifically the affect automatic and manual transmissions have on MPG.

Breast Cancer Risk Assessment Calculator

Breast Cancer Risk Assessment Calculator
An interactive app using the gail model to predict 5-year and lifetime risk for breast cancer in women of different ages and ethnicities by answering several questions.

Activity Monitoring Analysis

Activity Monitoring Analysis
This project makes use of data from a personal activity monitoring device to perform a time series analysis. The device collected data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012.

Fatal Traffic Accidents in the US (BigQuery)

Fatal Traffic Accidents in the US (BigQuery)
A brief analysis using BigQuery and Python showing the number of fatal traffic accidents in each state. The project also explores what day of the week and hour in the day are worst for the accidents to occur.

Global Terrorism Interactive App

Global Terrorism Interactive App
An interactive app to easily explore terrorism around the globe. The app utilizes The Global Terrorism Database (GTD) which is an open-source database including information on terrorist attacks around the world from 1970 through 2016.

Elo Rating for the NCAA 2018 (Python)

Elo Rating for the NCAA 2018 (Python)
The Elo rating system is a method for calculating the relative skill levels of teams. This project explores the elo rating of teams in the NCAA. The elo ratings for each team are then used in predicting the outcomes of the march madness tournament.

March Madness NCAA 2018 Predictions

March Madness NCAA 2018 Predictions
Google Cloud and NCAA® have teamed up to bring you this year’s version of the Kaggle machine learning competition. In the first stage of the competition, Kagglers will rely on results of past tournaments to build and test models. In the second stage, competitors will forecast outcomes of all possible match-ups in the 2018 NCAA Division I Men’s Championships.