Blog
This is where I write things down so I remember them later, share what I’m learning, and occasionally write about things unrelated to code, though most of it is.
You’ll find a mix of technical deep dives, practical lessons, and notes from real-world work with data. Some posts are polished walkthroughs. Others are rough ideas captured mid-thought.
Take a look around and filter by whatever catches your interest.
Face of a Superstar: Part 2
Python
Machine Learning
Baseball
Neural Networks
Georgia Tech Data & Visual Anlaytics Project Overview: Diabetes Risk Analysis
R
Shiny
Machine Learning
Georgia Tech
Face of a Superstar: Part 1
R
Web Scraping
Baseball
Visualizations with R and Python
R
Python
Visualization
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