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Machine Learning Labs

Interactive ML algorithm simulations: regression, classification, clustering, feature engineering, and model evaluation — all running in your browser with real data.

✓ 5 Interactive Labs✓ Browser-native✓ No account required
MACHINE LEARNING

Feature Engineering

Interactive feature engineering pipeline: column profiling, one-hot and label encoding, min-max and z-score normalization, log transforms, i…

ProfileEncodeNormalizePCA
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MACHINE LEARNING

Regression

Simulate OLS, multiple linear regression, polynomial regression degrees 1-3, Ridge and Lasso with lambda sweep — all with live residual diag…

OLSMultiLRPolyRidge/Lasso
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MACHINE LEARNING

Classification

Run and compare kNN, Logistic Regression, Naive Bayes, and Decision Tree classifiers with adjustable parameters, confusion matrices, ROC cur…

kNNLogRegNaiveBayesDecTree
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MACHINE LEARNING

Clustering

Interactive clustering workstation: k-Means++ with elbow method, DBSCAN with epsilon and minPts sliders, agglomerative hierarchical clusteri…

k-MeansElbowDBSCANHierarchical
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MACHINE LEARNING

Model Evaluation

Complete model evaluation toolkit: bias-variance decomposition with bootstrap, learning curves, k-fold cross-validation with per-fold scores…

Bias-VarLearningCurvek-FoldPerm
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