Linear Regression and Its Regularization Techniques
Regression is a supervised learning method that models the relationship between independant variables (features X) and a dependent variable (target Y). The goal is to learn a function that maps features to a continuous output.
A linear regression model assumes a linear relationship:
h(x) = θ₀ + θ₁x₁ + θ₂x₂ + ... + θₙxₙ = θᵀx
The objective is t ...
Posted on Wed, 13 May 2026 06:48:11 +0000 by stpra123