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6. Visualizations — scikit-learn 1.7.2 do...
Scikit-learn defines a simple API for creating visualizations for machine learning. The key feature of this API is to allow for quick plotting and visual adjustments without recalculation. We provi...scikit-learn.org/stable/visualizations.html -
Regularization path of L1- Logistic Regression ...
Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
Segmenting the picture of greek coins in region...
This example uses Spectral clustering on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions. This procedure (spectral clustering...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
Illustration of Gaussian process classification...
This example illustrates GPC on XOR data. Compared are a stationary, isotropic kernel (RBF) and a non-stationary kernel (DotProduct). On this particular dataset, the DotProduct kernel obtains consi...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
Comparison of LDA and PCA 2D projection of Iris...
The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width, petal length and petal width. Principal Component Analysis (PCA)...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
A demo of the mean-shift clustering algorithm &...
Reference: Dorin Comaniciu and Peter Meer, “Mean Shift: A robust approach toward feature space analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. pp. 603-619. Generate...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Getting Started — scikit-learn 1.7.2 docu...
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, mo...scikit-learn.org/stable/getting_started.html -
Cross decomposition — scikit-learn 1.7.2 ...
Examples concerning the sklearn.cross_decomposition module. Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/auto_examples/cross_decomposition/index.html -
Release Highlights — scikit-learn 1.7.2 d...
These examples illustrate the main features of the releases of scikit-learn. Release Highlights for scikit-learn 1.7 Release Highlights for scikit-learn 1.6 Release Highlights for scikit-learn 1.5 ...scikit-learn.org/stable/auto_examples/release_highlights/index.html -
Nearest Neighbors — scikit-learn 1.7.2 do...
Examples concerning the sklearn.neighbors module. Approximate nearest neighbors in TSNE Caching nearest neighbors Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimen...scikit-learn.org/stable/auto_examples/neighbors/index.html