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partial_dependence — scikit-learn 1.5.2 documen...
Gallery examples: Partial Dependence and Individual Conditional Expectation Plotsscikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
sklearn.exceptions — scikit-learn 1.5.2 documen...
Custom warnings and errors used across scikit-learn.scikit-learn.org/stable/api/sklearn.exceptions.html -
Probability calibration of classifiers — scikit...
When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some kind of confidence on the prediction. However...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Univariate Feature Selection — scikit-learn 1.5...
This notebook is an example of using univariate feature selection to improve classification accuracy on a noisy dataset. In this example, some noisy (non informative) features are added to the iris...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html -
Species distribution modeling — scikit-learn 1....
Modeling species’ geographic distributions is an important problem in conservation biology. In this example, we model the geographic distribution of two South American mammals given past observatio...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Digits Classification Exercise — scikit-learn 1...
A tutorial exercise regarding the use of classification techniques on the Digits dataset. This exercise is used in the clf_tut part of the supervised_learning_tut section of the stat_learn_tut_inde...scikit-learn.org/stable/auto_examples/exercises/plot_digits_classification_exercise.html -
k_means — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub k_means # sklearn.cluster. k_means ( X , n_clusters , * , sample_wei...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
calibration_curve — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub calibration_curve # sklearn.calibration. calibration_curve ( y_true ...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
GMM Initialization Methods — scikit-learn 1.5.2...
Examples of the different methods of initialization in Gaussian Mixture Models See Gaussian mixture models for more information on the estimator. Here we generate some sample data with four easy to...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
Support Vector Machines — scikit-learn 1.5.2 do...
Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...scikit-learn.org/stable/auto_examples/svm/index.html