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Predicting House Prices Using Machine Learning
Group Project: Credit to Anthony Parrillo, Akshit Arora, Alan Lin and Antonio Salvador.   Objective:  To employ machine learning...
MOVIE BROWSER
Movie Browser is here to help you discover new movies to watch, in a lot of different ways....
Who's Behind IMDb's Ratings?
Introduction IMDb (Internet Movie Database) is one of the most frequented movie rating sites, and for many people,...
An Interpretable Prediction Model for House Prices
Background Whether it’s a newlywed couple looking to start a family or an investor looking to diversify their...
Simple Interactive Visualization of '16-17 NBA Stats With Shiny
Purpose Why I Chose This Project Fantasy sports is a multi-billion-dollar industry. Most people play in leagues as...
Scraping the Partisan Divide: Sentiment, Text, & Network Analysis of an online political discussion forum using Python.
In this post I apply data science techniques to investigate partisan division on scraped user post data from...
Observations from TED Talks
Background: TED is a not-for-profit organization devoted to spreading ideas via short talks. Please see ted.com for more...
Using Machine Learning to Build a Predictive Model for House Prices
Introduction The purpose of this project was to build a model to predict housing prices in Ames, Iowa...
Supervised Learning With Kaggle Titanic Dataset
Purpose Why I Chose This Project Kaggle.com offers an introduction to supervised learning with the Titanic Dataset.  The...
Scraping Used Items on Craigslist.org with Scrapy
Purpose Why I Chose This Project As the old adage goes, ‘One man’s trash is another man’s treasure.’...
Web Scraping and Analysis of Concert Ticket Resales
Background The resale of concert tickets on secondary market exchanges (an estimated $8 billion market) such as SeatGeek...
Local Used Items Analysis with Python and Tableau
Purpose Why I Chose This Project I'm fascinated with the second-hand market. People exchange items in their communities...
You Voted for Whom? My R Shiny App on the Demographics of Party Misalignment in the 2016 Election.
Introduction In this post I introduce my first interactive R Shiny app investigating demographic differences in the 2016 general...
Web Scraping Industry Salaries from Glassdoor
Inspiration My interest in scraping glassdoor is due to the fact that I recently graduated from college. I...

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