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  1. Search - scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version Search Ctrl + K
    scikit-learn.org/stable/search.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. Lasso — scikit-learn 1.7.0 documentation

    Gallery examples: Compressive sensing: tomography reconstruction with L1 prior (Lasso) L1-based models for Sparse Signals Lasso on dense and sparse data Joint feature selection with multi-task Lass...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. Ridge — scikit-learn 1.7.0 documentation

    Gallery examples: Prediction Latency Compressive sensing: tomography reconstruction with L1 prior (Lasso) Comparison of kernel ridge and Gaussian process regression Imputing missing values with var...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. PassiveAggressiveRegressor — scikit-learn 1.7.0...

    Skip to main content Back to top Ctrl + K GitHub Choose version PassiveAggressiveRegressor # class sklearn.linear_mod...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. LinearRegression — scikit-learn 1.7.0 documenta...

    Gallery examples: Principal Component Regression vs Partial Least Squares Regression Plot individual and voting regression predictions Failure of Machine Learning to infer causal effects Comparing ...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. StandardScaler — scikit-learn 1.7.0 documentation

    Gallery examples: Faces recognition example using eigenfaces and SVMs Prediction Latency Classifier comparison Comparing different clustering algorithms on toy datasets Demo of DBSCAN clustering al...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. HistGradientBoostingClassifier — scikit-learn 1...

    Gallery examples: Plot classification probability Feature transformations with ensembles of trees Comparing Random Forests and Histogram Gradient Boosting models Post-tuning the decision threshold ...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. VotingClassifier — scikit-learn 1.7.0 documenta...

    Gallery examples: Visualizing the probabilistic predictions of a VotingClassifier
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html
    Thu Jul 03 11:42:06 UTC 2025
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  9. VotingRegressor — scikit-learn 1.7.0 documentation

    Gallery examples: Plot individual and voting regression predictions
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. NMF — scikit-learn 1.7.0 documentation

    Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Selecting dimensionality reduction with Pipeline and GridSearchCV Faces dataset decompositions
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html
    Thu Jul 03 11:42:06 UTC 2025
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