L2 Regularization From Scratch — Python Implementation Included

Databytes on Instagram: "Jesse Pinkman and Walter White make regularization finally click. In this reel we use Breaking Bad to explain why L2 regularization gently shrinks every weight to keep models stable and controlled while L1 regularization aggressively eliminates weak features by pushing some weights to zero. Same squared loss problem completely different philosophies control versus elimination smooth generalization versus sparse feature selection. If you are learning data science machine