scikit-learn: machine learning in Python — scikit-learn 1.7.2 …
scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7
Installing scikit-learn — scikit-learn 1.7.2 documentation
Install the version of scikit-learn provided by your operating system or Python distribution. This is a quick option for those who have operating systems or Python distributions that distribute …
API Reference — scikit-learn 1.7.2 documentation
This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the raw specifications of classes and functions may not be enough to give full …
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, …
KMeans — scikit-learn 1.7.2 documentation
Empirical evaluation of the impact of k-means initialization Comparison of the K-Means and MiniBatchKMeans clustering algorithms Release Highlights for scikit-learn 0.23 Release …
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. …
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, …
GaussianMixture — scikit-learn 1.7.2 documentation
Gallery examples: Comparing different clustering algorithms on toy datasets Demonstration of k-means assumptions Gaussian Mixture Model Ellipsoids GMM covariances GMM Initialization …
About us — scikit-learn 1.7.2 documentation
The scikit-learn project has a long history of open source coding sprints with over 50 sprint events from 2010 to present day. There are scores of sponsors who contributed to costs which …
1.10. Decision Trees — scikit-learn 1.7.2 documentation
However, the scikit-learn implementation does not support categorical variables for now. Other techniques are usually specialized in analyzing datasets that have only one type of variable.