Insights From “Helpful” Reviews
I used NLP and neural networks to analyze product reviews from Amazon and predict whether they readers would rate them “helpful” (or not). You can read about how I preprocessed and modeled this funky data in this blog post.
A Random Forest for the Trees
I developed a machine learning model that can predict the type of tree growing on a tract of land using only cartographic data like elevation, aspect, and distance to water. You can read about how I evaluated the model in this blog post.
Best Bets in Oregon Real Estate Investment
Using data on median home price per county for the last 22 years, I identified the best places to invest in real estate and performed time series modeling to project return on investment in the near future. See my blog post about how I used Facebook Prophet to do this.
Evaluating the Discount Strategy at Northwind Traders
After extracting data from a SQLite database, I used hypothesis testing to evaluate the effects of discounts on orders placed at the (fictitious) Northwind Traders company. See my blog post on this project.
Pricing Midrange Homes in King County, WA
Focusing on homes within reach of a middle-income family, I used multiple linear regression to determine which factors most affect home prices (and what families can do about that). You can read about how I prepared the data for modeling in this blog post.