Getting Started — scikit-learn 1.7.2 documentation
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, …
scikit-learn Tutorials — scikit-learn 1.4.2 documentation
Statistical learning: the setting and the estimator object in scikit-learn Supervised learning: predicting an output variable from high-dimensional observations
User Guide — scikit-learn 1.7.2 documentation
Jan 1, 2010 · 9. Computing with scikit-learn 9.1. Strategies to scale computationally: bigger data 9.1.1. Scaling with instances using out-of-core learning 9.2. Computational Performance 9.2.1. …
An introduction to machine learning with scikit-learn
scikit-learn comes with a few standard datasets, for instance the iris and digits datasets for classification and the diabetes dataset for regression. In the following, we start a Python …
scikit-learn: machine learning in Python — scikit-learn 1.7.2 …
scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7
Examples — scikit-learn 1.7.2 documentation
This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the API in general and some demonstrate specific applications in …
14. External Resources, Videos and Talks - scikit-learn
The MOOC, created and maintained by some of the scikit-learn core-contributors, is free of charge and is designed to help learners of all levels master machine learning using scikit …
1. Supervised learning — scikit-learn 1.7.2 documentation
Jan 1, 2010 · Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, …
13. Choosing the right estimator — scikit-learn 1.7.2 documentation
13. Choosing the right estimator # Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different …
Working With Text Data — scikit-learn 1.4.2 documentation
The goal of this guide is to explore some of the main scikit-learn tools on a single practical task: analyzing a collection of text documents (newsgroups posts) on twenty different topics.