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Pipelines and composite estimators — scikit-lea...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.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 -
SVM Margins Example — scikit-learn 1.7.1 docume...
The plots below illustrate the effect the parameter C has on the separation line. A large value of C basically tells our model that we do not have that much faith in our data’s distribution, and wi...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
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 0.154 seconds) Launch binder Launch JupyterLite ...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
make_moons — scikit-learn 1.7.1 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Comparing anomaly detection algori...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_circles — scikit-learn 1.7.1 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Kernel PCA Hashing feature transfo...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
rand_score — scikit-learn 1.7.1 documentation
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
Generalized Linear Models — scikit-learn 1.7.1 ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multinomial and One-vs-Rest Logistic Re...scikit-learn.org/stable/auto_examples/linear_model/index.html -
dcg_score — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version dcg_score # sklearn.metrics. dcg_score ( y_true , y_s...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
show_versions — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.show_versions.html