Barely Legible Organized Gibberish

Principles and guidelines that guide my life and work, inspired by the greats and my own experiences.

How to set up Caddy as a reverse proxy for your self-hosted services, with automatic HTTPS, internal domains, and clean URLs.

How to set up single sign‑on for your homelab using Pocket ID, Tinyauth, and a reverse proxy, so you're not juggling dozens of passwords.

A practical guide to self‑hosting services and reaching them securely with Tailscale, no port forwarding required.

A practical, human‑readable breakdown of how Tailscale works, why it's different, and when it's the right tool.

A clear, practical explanation of VPNs, what they protect, what they don't, and how to choose one without the marketing noise.

Understanding how items are frequently purchased together using association rules and market-basket analysis.

In this blog post, we will choose a problem to solve using clustering for Project 4.

Understanding K-Means and Agglomerative Clustering.

Understanding Unsupervised Learning and Principal Component Analysis.

In this blog post, we will choose a problem to solve using regression for Project 3.

A comprehensive deep dive into Linear and Logistic Regression, including key concepts like regularization and evaluation metrics.

Study guide for 4114: Real World Algorithms.

A behind-the-scenes look at how my Astro + MDX pipeline works, how I render posts, and where performance really matters.

In this blog post we will discuss more classification algorithms.

In this blog post we will discuss decision trees in more detail.

In this blog post we will discuss a high level overview of some classification algorithms.

In this blog post we define the problem and review a potential dataset.

In this blog post we discuss the data mining pipeline.

Test to see how MDX gets rendered on my site!