Linear Regression: From Least Squares to Production-Ready Practice

Tags: machinelearning, datascience, python, tutorial

Linear regression is the first algorithm most people learn, and the one most people never study deeply. It is also the model you will still find in production after fancier algorithms fail, because it is fast, stable, and explainable.

This article is not a "call .fit() and read the score" tutorial. We will cover the math, the statistical assumptions, the diagnostics, regularization, evaluation, production concerns, and the interview questions that separate beginners from engineers.

Why Linear Regression Deserves a Second Look

Linear Regression: From Least Squares to Production-Ready Practice

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