What are some advanced regression techniques I should know about?
Some advanced regression techniques include Ridge Regression, Lasso Regression, and Elastic Net. Would you like to know more about any specific one?
Can you explain Ridge Regression?
Ridge Regression adds a penalty equal to the square of the magnitude of coefficients to the loss function, which helps prevent overfitting.
How does Lasso Regression differ from Ridge?
Lasso Regression adds a penalty equal to the absolute value of the coefficients, which can lead to some coefficients being exactly zero, effectively performing variable selection.
What is Elastic Net used for?
Elastic Net combines both Lasso and Ridge penalties, making it useful when there are multiple correlated features.
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