Linear Methods for Regression: Must-Know Q&A for Interviews
Last Updated on August 29, 2025 by Editorial Team
Author(s): Ajit
Originally published on Towards AI.
Linear Methods for Regression: Must-Know Q&A for Interviews
Linear regression is a statistical model that assumes the regression function E(Y|X) is linear or nearly linear.
The article discusses various linear regression techniques, addressing common questions and answers related to the topic. It covers definitions, methodologies like least squares, regularization techniques, and key concerns such as multicollinearity and the curse of dimensionality. The author emphasizes the importance of understanding when to apply certain methods and techniques like Ridge, Lasso, and Elastic Net in regression analysis.
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