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Lecture
Logistic Regression: Probability Modeling
Description
This lecture covers logistic regression, a method for binary classification by modeling the probability of an observation belonging to a class. It explains the logistic function, maximum likelihood estimation, convexity of the loss function, and optimization methods like gradient descent and Newton's method.
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