Machine Learning, Linear Regression, Algorithms, Data Science, Data Visualization.
Concept: Addresses some of the problems of Ordinary Least Squares by imposing a penalty on the size of the coefficients. It’s useful to prevent overfitting and handle multicollinearity. Modification: Adds a penalty term equal to the square of the magnitude of the coefficients. Lasso Regression (L1