Entry 41: Elastic Net
The notebook where I did my code for this entry can be found on my github page in the Entry 41 notebook.
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Entry 40: Ridge Regression
Ridge Regression is a form of regression regularization using L2 regularization.
Entry 39: Lasso Regression
Least Absolute Shrinkage and Selection Operator (LASSO) Regression is a form of regression regularization using L1 regularization.
Entry 38: Regularization
Regularization is used to help address overfitting.
Entry 37b: Gradient Descent
The general idea of Gradient Descent is to iteratively minimize the errors (usually using the mean squared error) to arrive at better and better solutions. K...