A talk offered to the UMass Amherst Student Chapter of SIAM sponsored by the SIAM Visiting Lecturer series.
Nov 14, 2023
After setting up a shiny server, I watched how much it cost and was quite surprised.
Jul 3, 2022
My adventures in setting up a shiny server using AWS and hugo.
Aug 28, 2021
A simple shiny application that brings in your fantasy football roster and allows you to simulate a season.
Aug 23, 2021
As the Project Lead, we supported CDC's efforts in upskilling their staff in a variety of data science competencies from time series regression to data wrangling to communicating your results to all audiences.
Apr 2, 2021
Using blogdown to create and host a website on AWS
Aug 11, 2020
Taking a quantitative approach to identify which players are similar to each other.
Aug 11, 2020
Using R and Dynamic Programming to simulate a baseball game.
Aug 11, 2020
As many of you are aware, Baseball-Reference calculates a similarity score for each player against other players. Although this is an accepted way to calculate the similarity between two players, I wanted to see if my methodology compares. I ran my methodology for Hank Aaron (someone we all know and can understand the comparisons) and compared the list I got against the list Baseball-Reference posted. First, let’s look at what Baseball-Reference has:
Nov 13, 2019
An initial look into how to calculate the similarity between two players in Major League Baseball.
Nov 10, 2019