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.