Machine Learning Instruments
Mathematically authentic, client-side interactive laboratories. Directly manipulate hyperparameters, fit continuous polynomial curves via Gaussian elimination, and trace error trade-offs in real time with zero server latency.
K-Means Visualizer
Observe deterministic Euclidean partitioning, iterative centroid migration via arithmetic mean updates, and real-time Within-Cluster Sum of Squares (WCSS) convergence.
Regression Playground
Fit linear and degree 1–5 polynomial curves through exact least-squares normal equations solved via Gaussian elimination with partial pivoting. Inspect residual stems and train/test splits.
Confusion Matrix Simulator
Tactile 2×2 classification matrix with continuous fluid sliders, real-time population distribution breakdown, interactive formula tracing, and zero-denominator safety guards.