Github showcase for Dylan Peters

This is a site to showcase some of my projects. They are using R, Python, T-SQL, or other data or code tools.

In Spring 2019 I worked on a class project with 5 other students. The project was on comparing book reviews and related movie reviews for the movie based on the book. It involved web scraping, APIs, text analysis, and visualization using Qlik. I used the python library gensim to do Latent Direchlet Analysis which created a set of topics to describe the review corpus. You can see the project poster and the project report.

This is a exploratory data analysis I did of the ratings on OMS Central: http://captaindylan.github.io/OMSCentral.pdf

Here is my final project for the Coursera Regression Models course in the Data Science track: http://captaindylan.github.io/RegModels.pdf

This is my final project for the Coursera Practical Machine Learning course in the Data Science track: http://captaindylan.github.io/PML_Project.html

This is a project I did to analyze UN voting data to find clusters of voting. I calculated the distance between the votes and scaled it to two dimensions in order to study the clusters. http://captaindylan.github.io/UNVotes.html

The following are homework assignments in the course ISYE6501x on EDx, part of the Analytics Micromasters through Georgia Tech.
Week 2
Week 3
Week 4
Week 5
A fractional factorial design in R and a simulation in Arena.
An optimization model using PuLP in Python.
An analysis of a utility default problem, looking at the data and models used to determine who to disconnect from service and how to optimize the disconnects.
An analysis of a retailer shelf space problem, trying to determine the best shelf space arrangements.