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            Domain Name: SCIKIT-LEARN.ORG
Registrar: Gandi SAS
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Registry Expiry Date: 2029-10-19T01:50:06.321Z
Creation Date: 2011-10-19T01:50:06.321Z
Updated Date: 2025-05-30T22:22:57.006Z
Name Server: NS-38-B.GANDI.NET
Name Server: NS-83-A.GANDI.NET
Name Server: NS-83-C.GANDI.NET
REGISTRAR Contact: Gandi SAS
>>> Last update of RDAP database: 2026-03-14T17:00:23Z

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Position	Phrase	Seite	Ausschnitt
1	sklearn python	/	scikit-learn: machine learning in Python — scikit-learn 1.7.1 ... Machine Learning in Python · Simple and efficient tools for predictive data analysis · Accessible to everybody, and reusable in various contexts · Built on ...
1	sklearn models	/stable/supervised_learning.html	1. Supervised learning 1. Supervised learning . 1.1. Linear Models · 2. Unsupervised learning · 2.1. Gaussian mixture models · 3. Model selection and evaluation · 3.1. Cross-validation: ...
1	gridsearchcv	/stable/modules/generated/sklearn.model_selection.gridsearchcv.html	GridSearchCV — scikit-learn 1.7.1 documentation Exhaustive search over specified parameter values for an estimator. Important members are fit, predict. GridSearchCV implements a “fit” and a “score” method.
1	standardscaler	/stable/modules/generated/sklearn.preprocessing.standardscaler.html	StandardScaler — scikit-learn 1.7.1 documentation Standardize features by removing the mean and scaling to unit variance . The standard score of a sample x is calculated as: z = (x - u) / s
2	blobs python	/stable/modules/generated/sklearn.datasets.make_blobs.html	make_blobs Generate isotropic Gaussian blobs for clustering . Read more in the User Guide. Parameters: n_samplesint or array-like, default=100. If int, it is the total ...
2	linear model	/stable/modules/linear_model.html	1.1. Linear Models Linear Models#. The following are a set of methods intended for regression in which the target value is expected to be a linear combination of the features.
2	greater is better	/stable/modules/generated/sklearn.metrics.make_scorer.html	make_scorer — scikit-learn 1.7.2 documentation Callable object that returns a scalar score
3	neural models	/stable/modules/neural_networks_supervised.html	1.17. Neural network models (supervised) Multi-layer Perceptron (MLP ) is a supervised learning algorithm that learns a function by training on a dataset, where m is the number of dimensions for input ...
3	s v c	/stable/modules/generated/sklearn.svm.svc.html	SVC — scikit-learn 1.7.0 documentation C-Support Vector Classification . The implementation is based on libsvm. The fit time scales at least quadratically with the number of samples.
4	python 1.4 2	/stable/whats_new/v1.4.html	Version 1.4.2 Version 1.4.2 #. April 2024. This release only includes support for numpy 2. Version 1.4.1#. February ...

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