Simple Sigmoid (Page 1)
Basic illustration of the function 1/(1+np.exp(-z)) with a single z control.
Simple SigmoidLecture Objective
The objective of this lecture is classification of categorical data. Use these interactive pages to understand how logistic regression and threshold-based decisions classify observations into categories.
Confusion Matrix Practice (Page 3)
Practice threshold-based 2-class and 3-class predictions, then build confusion matrix and key metrics.
Confusion MatrixSigmoid Function
Interactive plot of p = 1 / (1 + exp(-(b0 + b1x))) with sliders and chart actions.
Sigmoid FunctionVisualization for Cost Function
Compare two logistic-model cases and track gradient descent trajectory on the cost surface.
Cost Function