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Plot Hierarchical Clustering Dendrogram —...
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 -
1.15. Isotonic regression — scikit-learn ...
The class IsotonicRegression fits a non-decreasing real function to 1-dimensional data. It solves the following problem:\min \sum_i w_i (y_i - \hat{y}_i)^2 subject to\hat{y}_i \le \hat{y}_j wheneve...scikit-learn.org/stable/modules/isotonic.html -
1.8. Cross decomposition — scikit-learn 1...
The cross decomposition module contains supervised estimators for dimensionality reduction and regression, belonging to the “Partial Least Squares” family. Cross decomposition algorithms find the f...scikit-learn.org/stable/modules/cross_decomposition.html -
1.13. Feature selection — scikit-learn 1....
The classes in the sklearn.feature_selection module can be used for feature selection/dimensionality reduction on sample sets, either to improve estimators’ accuracy scores or to boost their perfor...scikit-learn.org/stable/modules/feature_selection.html -
2.8. Density Estimation — scikit-learn 1....
Density estimation walks the line between unsupervised learning, feature engineering, and data modeling. Some of the most popular and useful density estimation techniques are mixture models such as...scikit-learn.org/stable/modules/density.html -
Plotting Cross-Validated Predictions — sc...
This example shows how to use cross_val_predict together with PredictionErrorDisplay to visualize prediction errors. We will load the diabetes dataset and create an instance of a linear regression ...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
SGD: convex loss functions — scikit-learn...
A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.098 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
Agglomerative clustering with and without struc...
This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. There are two advantages of imposing a ...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html -
1.10. Decision Trees — scikit-learn 1.7.2...
Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning s...scikit-learn.org/stable/modules/tree.html -
8.1. Toy datasets — scikit-learn 1.7.2 do...
scikit-learn comes with a few small standard datasets that do not require to download any file from some external website. They can be loaded using the following functions: These datasets are usefu...scikit-learn.org/stable/datasets/toy_dataset.html