Interactive visualizations to help you understand fundamental machine learning concepts through hands-on exploration.
Explore the fundamental tradeoff between model simplicity and flexibility. See how polynomial degree affects underfitting and overfitting using an intuitive sleep-vs-exam-mistakes dataset.
Learn how decision trees work by building one step-by-step. Understand entropy, information gain, and see how the algorithm finds optimal splits to classify student performance.
Demystify deep learning in an interactive glass-box lab. Build architectures, visualize matrix multiplication in real-time, and watch the decision boundary warp to solve non-linear problems like spirals and moons.