Project Summary

I built a simple, craft beer recommendation system using tools from natural language processing with python, pandas, and scikit-learn. To use it, I can input the name of a craft beer that is present in the database, then compute the cosine similarity between a bag-of-words representation of each beer’s description with all others. The code (gist) is found here, though the dataset will have to be compiled by the user!

Project Summary

I compiled a dataset of graduate research assistant salaries from 85 public and private universities in the United States, along with living wage data for each university location. I discovered that in general, average grad student pay at these universities did not correlate closely with living wage in their areas.

Project Summary

Using data from Kaggle’s Machine Learning Mania contest, I calculated Massey and Colley ratings for each team in one season using python, pandas, and numpy. You can see my script with exploratory analysis, some pandas tricks, and the rating calculations here.

Project Summary

In my last post, I ended with some pie-in-the-sky hare-brained ideas about actually returning to previous work, cleaning up code, and adding functionality. It must be a blue moon because I did it! You can now get the python utility to make your own NCAA brackets here! By the way, my latest bracket, if you’re interested.

Project Summary

Using Python and basketball ranking data, I generate a bracket with a simple algorithm that attempts to “be better” than the efforts of a selection committee of tens of people in seeding the competition. You can find the code I used here and the bracket for this week here.

My New Year’s Resolution in 2017 was to do exactly this. So I’m done right? I can rest on my laurels and coast through to 2018! Well, not quite. The idea was to build a simple blog where I could post the projects that I’m working on, professionally to an allowable extent, and personally to the full extent. My goal is about a post a week, so if you’re looking at something here that you like, remember to check back in a week for a new post.