Watch the optimization path as gradient descent converges.

See how principal components capture variance in data.

Observe centroid updates during clustering iterations.

Visualize decision boundaries and support vectors.

See activations flow through network layers.

Watch recursive splitting build a decision tree.

Observe ensemble predictions from multiple trees.

See how kernels map data to higher dimensions.