Tools
& Labs
Live, in-browser machine-learning playgrounds — decision-boundary visualizers and hyperparameter sandboxes I built to make model behavior tangible. Tune the knobs and watch the boundary move.
Voting Regressor Visualizer
Watch a voting ensemble blend several regressors into one smoother prediction surface — swap the base models and see the averaged fit update live.
Voting Classifier Boundary Lab
See how hard and soft voting across multiple classifiers reshapes the decision boundary on 2D data in real time.
Logistic Regression Sandbox
Tune regularization strength, penalty and solver for logistic regression and watch the decision boundary and metrics respond instantly.
Decision Tree Sandbox
Sweep max depth, min-samples and split criteria on a decision-tree classifier to see over- and under-fitting emerge on the boundary.
Decision Tree Regressor Sandbox
Explore how depth and leaf constraints turn a regression tree from a smooth step function into a jagged overfit — all interactively.
Bagging Regressor Boundary Lab
A bagging-ensemble regressor lab showing how bootstrap aggregation reduces variance across many weak regressors.
Bagging Classifier Boundary Lab
A bagging-ensemble classifier lab visualizing how aggregating bootstrapped models smooths a noisy decision boundary.