Introduction to Logistic Regression

Explore the fundamentals of binary classification and logistic regression in this concise 14-minute lecture. Delve into key concepts such as probit and logit links, while examining the role of latent variables in statistical modeling. Gain insights into the logistic distribution and its applications, and discover how other distributions can be utilized in similar contexts. Learn to formulate and analyze classification problems, equipping yourself with essential tools for data-driven decision-making and predictive analytics.

Introduction
Data
Feature
Questions
latent variable
probit model
logistic distribution
other distributions