Watch algorithms come alive with step-by-step animations
Partition data into K clusters using iterative centroid updates
Classify based on K nearest neighbors with distance metrics
Coming SoonFit linear models using gradient descent optimization
Coming SoonDimensionality reduction via principal component projection
Coming SoonBinary classification with sigmoid decision boundaries
Coming SoonDensity-based clustering for arbitrary-shaped clusters
Coming Soon