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2. Unsupervised learning — scikit-learn 1.6.1 d...
Gaussian mixture models- Gaussian Mixture, Variational Bayesian Gaussian Mixture., Manifold learning- Introduction, Isomap, Locally Linear Embedding, Modified Locally Linear Embedding, Hessian Eige...scikit-learn.org/stable/unsupervised_learning.html -
is_outlier_detector — scikit-learn 1.6.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version is_outlier_detector # sklearn.base. is_outlier_detect...scikit-learn.org/stable/modules/generated/sklearn.base.is_outlier_detector.html -
Demonstrating the different strategies of KBins...
This example presents the different strategies implemented in KBinsDiscretizer: ‘uniform’: The discretization is uniform in each feature, which means that the bin widths are constant in each dimens...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
parametrize_with_checks — scikit-learn 1.6.1 do...
Gallery examples: Release Highlights for scikit-learn 1.6 Release Highlights for scikit-learn 0.22scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
Agglomerative clustering with and without struc...
This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. There are two advantages of imposing a ...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html -
Tweedie regression on insurance claims — scikit...
This example illustrates the use of Poisson, Gamma and Tweedie regression on the French Motor Third-Party Liability Claims dataset, and is inspired by an R tutorial 1. In this dataset, each sample ...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Demo of OPTICS clustering algorithm — scikit-le...
Finds core samples of high density and expands clusters from them. This example uses data that is generated so that the clusters have different densities. The OPTICS is first used with its Xi clust...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
Robust linear estimator fitting — scikit-learn ...
Here a sine function is fit with a polynomial of order 3, for values close to zero. Robust fitting is demonstrated in different situations: No measurement errors, only modelling errors (fitting a s...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
Theil-Sen Regression — scikit-learn 1.6.1 docum...
Computes a Theil-Sen Regression on a synthetic dataset. See Theil-Sen estimator: generalized-median-based estimator for more information on the regressor. Compared to the OLS (ordinary least square...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Getting Started — scikit-learn 1.6.1 documentation
The purpose of this guide is to illustrate some of the main features that scikit-learn provides. It assumes a very basic working knowledge of machine learning practices (model fitting, predicting, ...scikit-learn.org/stable/getting_started.html