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Preprocessing — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...scikit-learn.org/stable/auto_examples/preprocessing/index.html -
Clustering — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...scikit-learn.org/stable/auto_examples/cluster/index.html -
Decomposition — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...scikit-learn.org/stable/auto_examples/decomposition/index.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.2...
Gallery examples: Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Linear and Quadratic Discriminant Analysis with covariance ellipsoid Comparison of LDA and PCA 2D proje...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
auc — scikit-learn 1.7.2 documentation
Gallery examples: Species distribution modeling Poisson regression and non-normal loss Tweedie regression on insurance claims Precision-Recall Multiclass Receiver Operating Characteristic (ROC) Rec...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
TSNE — scikit-learn 1.7.2 documentation
Gallery examples: Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Manifold Learning methods on a severed sphere Swiss Roll And Swi...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
ExtraTreesClassifier — scikit-learn 1.7.2 docum...
Gallery examples: Plot the decision surfaces of ensembles of trees on the iris dataset Hashing feature transformation using Totally Random Trees Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
GraphicalLasso — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version GraphicalLasso # class sklearn.covariance. GraphicalL...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
PLSSVD — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version PLSSVD # class sklearn.cross_decomposition. PLSSVD ( ...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
oas — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version oas # sklearn.covariance. oas ( X , * , assume_center...scikit-learn.org/stable/modules/generated/oas-function.html