Logistic Regression: Probability Modeling

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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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Statistics

Data analysis: Regression analysis

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