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9.2. Computational Performance — scikit-l...
Scipy’s sparse matrix formats documentation for more information on...beyond the scope of this documentation though. 9.2.3. Tips and...scikit-learn.org/stable/computing/computational_performance.html -
Examples based on real world datasets — s...
text documents Out-of-core classification of text documents Outlier...scikit-learn.org/stable/auto_examples/applications/index.html -
A demo of the Spectral Co-Clustering algorithm ...
Biclustering algorithm Biclustering documents with the Spectral Co-clustering...Co-clustering algorithm Biclustering documents with the Spectral Co-clustering...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
User Guide — scikit-learn 1.7.2 documenta...
Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Or...scikit-learn.org/stable/user_guide.html -
Decision Trees — scikit-learn 1.7.2 docum...
Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...scikit-learn.org/stable/auto_examples/tree/index.html -
Multiclass methods — scikit-learn 1.7.2 d...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Dataset examples — scikit-learn 1.7.2 doc...
Examples concerning the sklearn.datasets module. Plot randomly generated multilabel datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
Confusion matrix — scikit-learn 1.7.2 doc...
Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal elements represent the number of points for which the predicted label is e...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Feature Selection — scikit-learn 1.7.2 do...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
SGD: Penalties — scikit-learn 1.7.2 docum...
Contours of where the penalty is equal to 1 for the three penalties L1, L2 and elastic-net. All of the above are supported by SGDClassifier and SGDRegressor. Total running time of the script:(0 min...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html