Demystifying Algorithms: Bayes' Theorem and Naïve Bayes - Part I
Explaining one of the cornerstones of probability theory. A critical precursor to complex probabilistic models.
Hey, I'm Jacob!
Data Science Professional.
I'm an analytics and data science practitioner with a soft spot for visual design. Enthusiastic about health, technology, and solving tricky problems.
AI vs. Machine Learning: What's the Difference?
A brief writeup on the overlap and distinction between two of the buzziest topics of our time.
A Post From My Old Site
"Wrangling and Regression Modeling of Scraped Zillow Listings". An example from my early learning days back in 2020, that was hosted on my deprecated site. Shows an end-to-end project with scraping web data, collating and processing it, and analyzing it for rough prediction.