<ul><li>Lasso Regression works like a smart hiker, simplifying models by identifying important features and trimming away less useful ones.</li><li>Lasso Regression adds a penalty for complexity, improving performance and interpretability of models.</li><li>Lasso can shrink some coefficients to zero, performing both regularization and feature selection.</li><li>Choosing the right lambda is crucial, and cross-validation is often used to find the optimal value.</li></ul>

Lasso Regression: Simplifying Models One Feature at a Time

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