Interactive modules
Learn by doing
Sliders, clicks, and drag: see how models, metrics, and text representations change in real time. No install required.
ML fundamentals
Linear regression
Adjust weight and bias; watch MSE and squared errors.
→Correlation
Pick datasets; Pearson coefficient and scatterplot.
→Binary classification
Move the threshold; confusion matrix and F1.
→Decision trees
Change depth and follow how the data splits.
→k-nearest neighbours
Place a test point, choose k, see majority vote.
→Distance measures
Compare Euclidean, Manhattan, and cosine distance.
→Gradient descent
Learning rate and start point; step toward the minimum.
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