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PolynomialFeatures — scikit-learn 1.8.0 documen...

Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Comparing Linear Bayesian Regressors Poisson regre...

scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html

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Mon Mar 23 20:39:23 UTC 2026
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GammaRegressor — scikit-learn 1.8.0 documentation

Gallery examples: Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23

scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html

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Mon Mar 23 20:39:20 UTC 2026
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MLPClassifier — scikit-learn 1.8.0 documentation

Gallery examples: Classifier comparison Varying regularization in Multi-layer Perceptron Compare Stochastic learning strategies for MLPClassifier Visualization of MLP weights on MNIST

scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html

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Mon Mar 23 20:39:23 UTC 2026
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GaussianNB — scikit-learn 1.8.0 documentation

Gallery examples: Probability calibration of classifiers Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison Plotting Learning Curves and Checking Models’ ...

scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html

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Mon Mar 23 20:39:20 UTC 2026
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RANSACRegressor — scikit-learn 1.8.0 documentation

Gallery examples: Robust linear model estimation using RANSAC Robust linear estimator fitting Theil-Sen Regression

scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html

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Mon Mar 23 20:39:20 UTC 2026
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TweedieRegressor — scikit-learn 1.8.0 documenta...

Gallery examples: Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23

scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html

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Mon Mar 23 20:39:23 UTC 2026
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BiclusterMixin — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version BiclusterMixin # class sklearn.base. BiclusterMixin [...

scikit-learn.org/stable/modules/generated/sklearn.base.BiclusterMixin.html

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Mon Mar 23 20:39:20 UTC 2026
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l1_min_c — scikit-learn 1.8.0 documentation

Gallery examples: Regularization path of L1- Logistic Regression

scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html

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Mon Mar 23 20:39:23 UTC 2026
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sklearn — scikit-learn 1.8.0 documentation

Configure global settings and get information about the working environment.

scikit-learn.org/stable/api/sklearn.html

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Mon Mar 23 20:39:21 UTC 2026
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EmpiricalCovariance — scikit-learn 1.8.0 docume...

Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate

scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html

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Mon Mar 23 20:39:23 UTC 2026
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