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Nearest Centroid Classification — scikit-learn ...
Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class.,., Total running time of the script:(0 minutes 0.168 seconds) Launch binder Launch JupyterLite ...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Importance of Feature Scaling — scikit-learn 1....
Feature scaling through standardization, also called Z-score normalization, is an important preprocessing step for many machine learning algorithms. It involves rescaling each feature such that it ...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
inplace_csr_row_normalize_l2 — scikit-learn 1.6...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_csr_row_normalize_l2 # sklearn.utils.sparsefu...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
single_source_shortest_path_length — scikit-lea...
Skip to main content Back to top Ctrl + K GitHub Choose version single_source_shortest_path_length # sklearn.utils.gr...scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length.... -
Lasso, Lasso-LARS, and Elastic Net paths — scik...
This example shows how to compute the “paths” of coefficients along the Lasso, Lasso-LARS, and Elastic Net regularization paths. In other words, it shows the relationship between the regularization...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html -
Classification — scikit-learn 1.6.1 documentation
General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...scikit-learn.org/stable/auto_examples/classification/index.html -
IsolationForest — scikit-learn 1.6.1 documentation
Gallery examples: IsolationForest example Comparing anomaly detection algorithms for outlier detection on toy datasets Evaluation of outlier detection estimatorsscikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
SelectFromModel — scikit-learn 1.6.1 documentation
Gallery examples: Model-based and sequential feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
DummyRegressor — scikit-learn 1.6.1 documentation
Gallery examples: Poisson regression and non-normal loss Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
RandomForestRegressor — scikit-learn 1.6.1 docu...
Gallery examples: Release Highlights for scikit-learn 1.4 Release Highlights for scikit-learn 0.24 Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html