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Data Science Academy · Lesson

Ridge and Lasso Regularization

Taming overfitting with penalties.

When a Line Overfits

Plain linear regression can chase noise, growing huge coefficients that fit training data yet fail on new data. That trap is called overfitting. 😬

Add a Penalty

Regularization fixes this by adding a penalty for large coefficients. The model now balances fitting the data against keeping weights small.

All lessons in this course

  1. Linear Regression Revisited
  2. Ridge and Lasso Regularization
  3. Decision Tree Regression
  4. Random Forest for Regression
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