Lecture 10: Logistic Regression - Machine Learning for Engineers 

This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, Los Angeles (UCLA). This course introduces ML/AI theory and applications that are relevant to engineering, with a focus on practical machine learning for civil engineering. In this lecture, we focus on logistic regression for classification. We talk about sigmoid function, cost function, underfitting and overfitting, regularization, multiclass classification, accuracy, precision, recall, and F1 score.