Name: Adrian Mead
Type: User
Company: University of Virginia
Bio: Student in the Data Science Master's program at the University of Virginia. Working on projects in various fields to bolster my knowledge.
Location: Charlottesville, VA
Adrian Mead's Projects
Adversarial Learning for Credit Card Fraud Detection
Work to build car value forecasts based on recent sell signals
Work that includes outcome analysis of pairwise combinations of surveyor ratings of chimp behavior in the Gombe Stream National Park in Tanzania.
The goal of this project is to scrape a variety of weather forecast resources (NOAA, Wunderground, Weather.com, etc), and build up histories of their weather forecasts for a number of major cities (NYC, Chicago, etc). Once enough data is collected I can release the dataset along with some fairly interesting analysis on the relative accuracies of different weather services at certain time-outlooks (5 hours out, 1 day out, 3 days out, etc).
Written as brute-force solution to Monty Hall
The R material we covered during the summer was condensed into a large final project. We were given a large amount of IMDB info on movie ratings and reviewers. From these we were tasked with getting a handle on a variety of different aspects of the data in addition to producing a presentation that lends some additional insight into the data and perhaps provides more information about predictions that can be made. We decided to do our extra analysis on the rating behavior of different age demographics both as a whole and across different movie genres.
Python Implementation with State Space Exploration
Work in the SAS class was condensed into a final group project that was presented. Our ultimate work for that can be found here.
Working with Court Haworth and Ni Zhuang
Kaggle - Competition 1 - Titanic Data for Predicting Chance of Death
As part of an early Python project, designed a web crawler that would move through a wiki domain from a seed page out to all of the articles that it touched. Then rate the popularity of pages.
Part of a Python class Final Project. In a group of 3 we were tasked with identifying and