Regression Project

Key Concepts Learned:

• Bias-Variance Trade-off
  Understanding the balance between underfitting and overfitting in models.

• Polynomial Regression
  Exploring regression models with polynomial features to capture non-linear relationships.

• Regularization
  Techniques to prevent overfitting by adding penalties to the model.

• L1 and L2 Loss
  Learning the differences and applications of L1 (Lasso) and L2 (Ridge) regularization techniques.