#ml

• 4. ML: Confusion Matrix, Bias-Variance & Regularization
  Feb 03, 2026 • 11 min read
  Model evaluation, bias-variance decomposition, and how regularization techniques constrain complexity.
  #ML
• 3. ML: Logistic Regression
  Feb 02, 2026 • 15 min read
  Probabilistic power of Logistic Regression: A deep dive into its linear roots and sigmoid derivation.
  #ML
• 2. ML: Linear Regression
  Feb 02, 2026 • 20 min read
  Mathematical art of drawing a straight line through a cloud of chaos and confidently calling it a prediction.
  #ML
• 1. ML: Basic Fundamentals
  Jan 30, 2026 • 14 min read
  Building Blocks of Machine Learning
  #ML