Linear and Logistic RegressionIntroduces linear and logistic regression, covering parametric models, multi-output prediction, non-linearity, gradient descent, and classification applications.
Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Linear Models: ClassificationExplores linear models for classification, including logistic regression, decision boundaries, and support vector machines.
Linear Models: ContinuedExplores linear models, regression, multi-output prediction, classification, non-linearity, and gradient-based optimization.
