Decision Tree Regression
  • References/Python/scikit-learn/Examples/Decision Trees

A 1D regression with decision tree. The

2025-01-10 15:47:30
Compressive sensing
  • References/Python/scikit-learn/Examples/Examples based on real world datasets

This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such

2025-01-10 15:47:30
Logistic function
  • References/Python/scikit-learn/Examples/Generalized Linear Models

Shown in the plot is how the logistic regression would, in this synthetic dataset, classify values as either 0 or 1, i.e. class one or two, using the logistic curve.

2025-01-10 15:47:30
Visualizing the stock market structure
  • References/Python/scikit-learn/Examples/Examples based on real world datasets

This example employs several unsupervised learning techniques to extract the stock market structure from variations in historical quotes. The quantity

2025-01-10 15:47:30
Compare BIRCH and MiniBatchKMeans
  • References/Python/scikit-learn/Examples/Clustering

This example compares the timing of Birch (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 100,000 samples and

2025-01-10 15:47:30
Demo of affinity propagation clustering algorithm
  • References/Python/scikit-learn/Examples/Clustering

Reference: Brendan J. Frey and Delbert Dueck, ?Clustering by Passing Messages Between Data Points?, Science Feb. 2007

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Explicit feature map approximation for RBF kernels
  • References/Python/scikit-learn/Examples/General examples

An example illustrating the approximation of the feature map of an RBF kernel. It shows how to use

2025-01-10 15:47:30
SVM Margins Example
  • References/Python/scikit-learn/Examples/Support Vector Machines

The plots below illustrate the effect the parameter C has on the separation line. A large value of C basically tells our model that we do not have

2025-01-10 15:47:30
Classification of text documents
  • References/Python/scikit-learn/Examples/Working with text documents

This is an example showing how the scikit-learn can be used to classify documents by topics using a bag-of-words approach. This example

2025-01-10 15:47:30
Gaussian Processes regression
  • References/Python/scikit-learn/Examples/Gaussian Process for Machine Learning

A simple one-dimensional regression example computed in two different ways: A noise-free case

2025-01-10 15:47:30