Tutorial

• GitHub Crawler: Beyond Basic Scraping (04 Jul 2021)
  When scraping makes sense, when it doesn't, and how to do it responsibly. Building a GitHub user crawler with async programming.


• Introduction to Web Scraping with Python (25 Jun 2021)
  An introduction to extracting data from the web. HTML structure, DOM traversal, and building a working crawler with Python and BeautifulSoup.


• Common Metrics Derived From the Confusion Matrix (15 Jun 2021)
  The practical side of classification metrics. Precision, recall, F1, MCC, and the implementation details that textbooks skip over.


• The Confusion Matrix: Why Accuracy Is a Dangerous Illusion (07 Jun 2021)
  A fraud detection system with 99.9% accuracy might be worthless. Why scalar metrics hide what matters, and how to think about errors that aren't symmetric.


• The Least Squares Method (01 Jun 2021)
  Deriving the normal equations by working backwards from what we want to achieve. The foundation of linear regression, explained geometrically.