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14. External Resources, Videos and Talks —...
The scikit-learn MOOC: If you are new to scikit-learn, or looking to strengthen your understanding, we highly recommend the scikit-learn MOOC (Massive Open Online Course). The MOOC, created and mai...scikit-learn.org/stable/presentations.html -
Demo of affinity propagation clustering algorit...
Reference: Brendan J. Frey and Delbert Dueck, “Clustering by Passing Messages Between Data Points”, Science Feb. 2007 Generate sample data: Compute Affinity Propagation: Plot result: Total running ...scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html -
Factor Analysis (with rotation) to visualize pa...
Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less redundant. Matrix decomposition techniques can uncover these latent...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
Comparison of F-test and mutual information ...
This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3 distributed uniformly over [0, 1], the target depends on t...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Image denoising using dictionary learning ̵...
An example comparing the effect of reconstructing noisy fragments of a raccoon face image using firstly online Dictionary Learning and various transform methods. The dictionary is fitted on the dis...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Comparison of kernel ridge regression and SVR &...
Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel trick, i.e., they learn a linear function in the space induced by the respective kernel which correspo...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
SGD: Maximum margin separating hyperplane ̵...
Plot the maximum margin separating hyperplane within a two-class separable dataset using a linear Support Vector Machines classifier trained using SGD. Total running time of the script:(0 minutes 0...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
Face completion with a multi-output estimators ...
This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half. The first column of images shows true faces. The next ...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Manifold Learning methods on a severed sphere &...
An application of the different Manifold learning techniques on a spherical data-set. Here one can see the use of dimensionality reduction in order to gain some intuition regarding the manifold lea...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
SVM: Separating hyperplane for unbalanced class...
Find the optimal separating hyperplane using an SVC for classes that are unbalanced. We first find the separating plane with a plain SVC and then plot (dashed) the separating hyperplane with automa...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html