Logistic Regression: Probability Mapping

This lecture covers the concept of logistic regression, focusing on mapping predictions from a continuous range to a probability between 0 and 1. It explains how large and small values affect the probability outcome, the impact of parameters in the model, and the optimization process to maximize likelihood. The instructor discusses the theoretical framework and practical implications of logistic regression, emphasizing its application in real-world data analysis.