Linear and Logistic Regression

This lecture covers the basics of linear regression, including parametric models like lines and hyperplanes, and extends to multi-output linear regression. It also delves into logistic regression, discussing non-linearity, gradient descent optimization, and its application in binary and multi-class classification problems.