Learn the fundamentals and advanced concepts of Logistic Regression in this comprehensive 1.5-hour video series. Explore the transition from Linear Regression to predicting discrete outcomes, such as movie preferences. Delve into detailed explanations of coefficients, maximum likelihood estimation, R-squared values, and p-values. Understand saturated models, deviance, and deviance residuals. Conclude with a practical demonstration of implementing Logistic Regression in R, providing a clear and thorough understanding of this essential statistical technique.
Overview
Syllabus
StatQuest: Logistic Regression.
Logistic Regression Details Pt1: Coefficients.
Logistic Regression Details Pt 2: Maximum Likelihood.
Logistic Regression Details Pt 3: R-squared and p-value.
Saturated Models and Deviance.
Deviance Residuals.
Logistic Regression in R, Clearly Explained!!!!.
Taught by
StatQuest with Josh Starmer
