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Lecture
Linear and Logistic Regression
Description
This lecture covers the basics of linear regression, including parametric models like lines and hyperplanes, and extends to multi-output linear regression. It also delves into logistic regression, discussing non-linearity, gradient descent optimization, and its application in binary and multi-class classification problems.
Official source
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