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SVM-Anova: SVM with univariate feature selectio...
This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris dataset (4 features) and add 36...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Release Highlights for scikit-learn 1.3 — sciki...
We are pleased to announce the release of scikit-learn 1.3! Many bug fixes and improvements were added, as well as some new key features. We detail below a few of the major features of this release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Plot the decision surface of decision trees tra...
Plot the decision surface of a decision tree trained on pairs of features of the iris dataset. See decision tree for more information on the estimator. For each pair of iris features, the decision ...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
Principal Component Analysis (PCA) on Iris Data...
This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features: sepal length, sepal width, petal length,...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Probabilistic predictions with Gaussian process...
This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Nested versus non-nested cross-validation — sci...
This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Outlier detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Building Elasticsearch APIs with FastAPI - Elas...
Below is a sample document: First, we need to install...easier to read, maintain, and document. However, strict typing and...www.elastic.co/search-labs/blog/elasticsearch-fastapi -
roadmap.rst.txt
Purpose of this document ---------- This document lists general...maintaining a high-quality, well-documented collection of canonical tools...scikit-learn.org/stable/_sources/roadmap.rst.txt -
Kibana Dashboard | Elastic
Try free Dive into the documentation, including a guide for creating...all the way to a granular document‑level inspection. From data...www.elastic.co/kibana/kibana-dashboard