Interactive tools for learning, visualization, and problem-solving
Interactive 3D/2D vector visualization and transformation tool with matrix operations.
Visualize how linear regression is learned through gradient descent with configurable learning rate and error metrics.
Interactive visual explanations of classification and regression metrics with formulas, examples, and usage guidance.
Interactive logistic regression with sigmoid function, decision boundary, log loss, log odds explainers, and threshold tuning.
Visualize neural network architectures, training processes, and data flow.
Upload and analyze datasets with statistical insights and visualization.
Step-by-step visualization of sorting, searching, and graph algorithms.
Solve systems of equations, eigenvalues, matrix operations with step-by-step solutions.
Interactive probability distributions, Monte Carlo simulations, and statistical experiments.
Interactive KNN classifier with adjustable K, distance metrics, and real-time decision boundary visualization.
Build and visualize decision trees with interactive splitting, pruning, and feature importance analysis.
Explore ensemble learning with bagging — visualize bootstrap sampling, parallel model training, and aggregated predictions.
Understand boosting algorithms like AdaBoost and Gradient Boosting with sequential model visualization and error correction.
Interactive Naive Bayes classifier with probability visualization, Bayes theorem walkthrough, and text classification demo.
We're constantly developing new AI tools to help with learning, research, and problem-solving. Stay tuned for updates!
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