parthkg.hashnode.devThe NumPy Survival GuideTo build Machine Learning models, I need to master the ndarray (N-dimensional array). It’s not just about storing numbers; it’s about generating patterns, reshaping matrices, and cleaning data without6h ago·6 min read
parthkg.hashnode.devPython Basics for Machine LearningToday, I’m documenting the essential Python syntax for ML—from simple printing to functional programming. 1. Formatting Output The print() function is the first thing we learn, but formatting variables is where it gets useful. The .format() Method Th...1d ago·5 min read
parthkg.hashnode.devData Preprocessing in Machine LearningA complete checklist for EDA, Cleaning, and Feature Engineering. While neural architecture design often garners the most attention in Machine Learning, the efficacy of any model is fundamentally constrained by the quality of its input data. Real-worl...2d ago·6 min read
parthkg.hashnode.devProbability Distributions in MLIn Machine Learning, nothing is certain.When my model looks at a photo of a cat, it doesn't say "This is a Cat." It says: "I am 92% confident this is a cat, given the pointy ears and whiskers." To become a Machine Learning Engineer, I had to rewire m...3d ago·6 min read
parthkg.hashnode.devThe Unified Theory of Matrices & Vector Spaces1. Anatomy of a Linear System Before we draw a matrix, we have to understand where it comes from: Systems of Linear Equations. A generic linear system with m equations and n unknowns takes the form: $$\begin{align*} a_{11}x_1 + a_{12}x_2 + \dots + a_...4d ago·9 min read
