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Extension of Linear Regression

Also Known as "L1 Regulisation"

Use: Features Selection

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Issue in Linear Regression: Cost function can reach 0, meaning it is a 100% accurate model which is never true.

Therfore, Ridge Regression - L2, Lasso Regression - L1 & Elastic Net adjust the cost functions to give better accurate models

Improves on the following factors

Adds a "Ridge Hyper-parameters for adjusting cost function such that the cost function is always >= 0

Similar to Ridge, but Removes, not just reduce the less important features
Useful for feature selection

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