Machine Learning
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Lasso Regression
Quick Definition
Regularized regression using L1 penalty for feature selection
Full Definition
A regularized regression method using L1 penalty that can shrink some coefficients to zero for feature selection.
Examples
feature selection, sparse models, high-dimensional data
Related Terms
ridge-regression
regularization
feature-selection
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