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Comparison of Manifold Learning methods — sciki...
An illustration of dimensionality reduction on the S-curve dataset with various manifold learning methods. For a discussion and comparison of these algorithms, see the manifold module page For a si...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
Comparing various online solvers — scikit-learn...
An example showing how different online solvers perform on the hand-written digits dataset., Total running time of the script:(0 minutes 8.259 seconds) Launch binder Launch JupyterLite Download Jup...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Comparing Linear Bayesian Regressors — scikit-l...
This example compares two different bayesian regressors: a Automatic Relevance Determination - ARD, a Bayesian Ridge Regression. In the first part, we use an Ordinary Least Squares(OLS) model as a ...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Lasso path using LARS — scikit-learn 1.5.2 docu...
Computes Lasso Path along the regularization parameter using the LARS algorithm on the diabetes dataset. Each color represents a different feature of the coefficient vector, and this is displayed a...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars.html -
Demo of DBSCAN clustering algorithm — scikit-le...
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) finds core samples in regions of high density and expands clusters from them. This algorithm is good for data which contains clu...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
FastICA on 2D point clouds — scikit-learn 1.5.2...
This example illustrates visually in the feature space a comparison by results using two different component analysis techniques. Independent component analysis (ICA) vs Principal component analysi...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
Plot the support vectors in LinearSVC — scikit-...
Unlike SVC (based on LIBSVM), LinearSVC (based on LIBLINEAR) does not provide the support vectors. This example demonstrates how to obtain the support vectors in LinearSVC. Total running time of th...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
Underfitting vs. Overfitting — scikit-learn 1.5...
This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function ...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
SVM: Weighted samples — scikit-learn 1.5.2 docu...
Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means that the classifier puts more emphas...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Plot Hierarchical Clustering Dendrogram — sciki...
This example plots the corresponding dendrogram of a hierarchical clustering using AgglomerativeClustering and the dendrogram method available in scipy. Total running time of the script:(0 minutes ...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html