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ML - LLM Interview: Linear Regression by llmswapnil is a document available to read on EtoBox.

What is ML - LLM Interview: Linear Regression about?

The document provides an overview of linear regression, including its objective function, gradient descent, and assumptions. It also discusses regularization techniques (L1 and L2), the bias-variance trade-off, and evaluation metrics like R-squared and Mean Squared Error (MSE). Additionally, it covers Support Vector Regression (SVR) and its components, highlighting key differences from Support Vector Machines (SVM).

Author

llmswapnil

Language

EN