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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 -
Theil-Sen Regression — scikit-learn 1.7.0 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 -
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 -
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 -
2. Unsupervised learning — scikit-learn 1.7.0 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 -
Visualizing the stock market structure — scikit...
This example employs several unsupervised learning techniques to extract the stock market structure from variations in historical quotes. The quantity that we use is the daily variation in quote pr...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
parametrize_with_checks — scikit-learn 1.7.0 do...
Gallery examples: Release Highlights for scikit-learn 0.22 Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
is_outlier_detector — scikit-learn 1.7.0 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 -
Partial Dependence and Individual Conditional E...
Documentation for ColumnTransformer i...'windspeed'] QuantileTransformer ? Documentation for QuantileTransformer...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html