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ML_Supervised
·
Module 5
Regularization Techniques
1
Regularization: Preventing Overfitting and Controlling Complexity
Explain how regularization helps prevent overfitting and affects model complexity.
Implementing L2 Regularization in Cost Functions and Gradients
Modify a cost function and its gradient to include an L2 (Ridge) regularization term.
3
Lasso Regularization: Modifying Cost Functions and Gradients
Modify a cost function and its gradient to include an L1 (Lasso) regularization term.
4
Implementing Regularization in Linear and Logistic Regression
Apply L1 and L2 regularization to your from-scratch Linear and Logistic Regression models.
5
L1 vs. L2 Regularization: Impact on Coefficient Sparsity
Compare the effects of L1 and L2 regularization on model coefficient sparsity.
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Logistic Regression from Scratch
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Support Vector Machines from Scratch