Linear and Logistic Regression

This lecture introduces the concepts of linear and logistic regression. It covers the parametric approach, underfitting, overfitting, performance metrics, normal equation, gradient descent, multiple features, and the activation function. The instructor explains how to predict concrete strength and classify buildings based on size, emphasizing the importance of minimizing loss functions and understanding the trade-offs between model complexity, bias, and variance.