Regularization Path - Interactive Visualization

Regularization paths show how model coefficients change as regularization strength λ varies. Ridge (L2) shrinks all coefficients smoothly toward zero - they never reach exactly zero. Lasso (L1) drives some coefficients to exactly zero at different λ values, performing automatic feature selection. The geometric difference: L2 ball is smooth (no corners), L1 diamond has corners on the axes.

• Watch Ridge coefficients shrink smoothly and symmetrically toward zero
• Watch Lasso coefficients hit zero at different λ values (variable selection)
• See L1 constraint geometry (diamond) vs L2 (circle) in inset
• Observe how many non-zero coefficients remain at each λ for Lasso
• Foundation for feature selection, model compression, and interpretable ML

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.