The Polymathic Engineer

Linear Regression

The 170th Polymathic Engineer newsletter breaks down linear regression, the cornerstone of machine learning, from intuition to mathematics. It walks readers through a salary‑prediction example, explains features, weights, bias, and error minimization, then expands to multivariate and polynomial regression. The piece also distinguishes parameters from hyperparameters and highlights real‑world applications. Finally, it encourages hands‑on practice via platforms like CodeCrafters.