sklearn documentation | scikit-learn: machine learning in Python

Keyword	CPC	PCC	Volume	Score	Length of keyword
sklearn documentation	1.35	0.3	8110	36	21
sklearn	0.51	0.9	7931	80	7
documentation	1.36	0.2	3641	95	13

Keyword	CPC	PCC	Volume	Score
sklearn documentation	0.91	1	1394	53
sklearn documentation pdf	1.52	0.4	5330	97
sklearn documentation python	0.87	0.9	1067	2
sklearn documentation download	1.12	0.5	9161	84
sklearn documentation linear regression	1.29	0.3	4325	93
sklearn documentation random forest	1.33	0.2	7052	4
sklearn documentation models	0.65	0.5	9919	65
sklearn documentation for pca	1.88	0.3	4406	7
sklearn documentation for knn	1.74	0.5	5666	52
sklearn documentation decision tree	0.85	0.3	8056	32
sklearn documentation confusion matrix	0.03	0.7	1773	54
sklearn official documentation	1.38	0.4	4522	53
logistic regression sklearn documentation	0.9	0.3	1212	52
train test split sklearn documentation	1.7	0.5	6619	37
sklearn library documentation	1.3	0.4	4231	60

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scikit-learn: machine learning in Python — scikit-learn 1.4.2 documentation
scikit-learn.org

https://scikit-learn.org/stable/index.html

WEBscikit-learn: machine learning in Python — scikit-learn 1.4.2 documentation. Machine Learning in Python. Getting Started Release Highlights for 1.4 GitHub. Simple and efficient tools for predictive data analysis. Accessible to everybody, and reusable in various contexts. Built on NumPy, SciPy, and matplotlib.

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User guide: contents — scikit-learn 1.4.2 documentation
scikit-learn.org

https://scikit-learn.org/stable/user_guide.html

WEBUser guide: contents — scikit-learn 1.4.2 documentation. User Guide ¶. 1. Supervised learning. 1.1. Linear Models. 1.2. Linear and Quadratic Discriminant Analysis. 1.3. Kernel ridge regression. 1.4. Support Vector Machines. 1.5. Stochastic Gradient Descent. 1.6. Nearest Neighbors. 1.7. Gaussian Processes. 1.8. Cross decomposition. 1.9. Naive Bayes.

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Getting Started — scikit-learn 1.4.2 documentation
scikit-learn.org

https://scikit-learn.org/stable/getting_started.html

WEBScikit-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, model evaluation, and many other …

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scikit-learn · PyPI
pypi.org

https://pypi.org/project/scikit-learn/

WEBApr 9, 2024 · Note: scikit-learn was previously referred to as scikits.learn. Help and Support Documentation. HTML documentation (stable release): https://scikit-learn.org; HTML documentation (development version): https://scikit-learn.org/dev/ FAQ: https://scikit-learn.org/stable/faq.html; Communication. Mailing list: https://mail.python.org/mailman ...

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scikit-learn - Wikipedia
wikipedia.org

https://en.m.wikipedia.org/wiki/Scikit-learn

WEBOverview. Implementation. Version history. scikit-learn alternatives. References. External links. scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language. [3] .

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scikit-learn: machine learning in Python - GitHub
github.com

https://github.com/scikit-learn/scikit-learn

WEBThe documentation includes more detailed installation instructions. Changelog. See the changelog for a history of notable changes to scikit-learn. Development. We welcome new contributors of all experience levels. The scikit-learn community goals are to be helpful, welcoming, and effective.

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Python Machine Learning: Scikit-Learn Tutorial | DataCamp
datacamp.com

https://www.datacamp.com/tutorial/machine-learning-python

WEBScikit-learn, also known as sklearn, is an open-source, robust Python machine learning library. It was created to help simplify the process of implementing machine learning and statistical models in Python.

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An introduction to machine learning with scikit-learn
scikit-learn.org

https://scikit-learn.org/0.21/tutorial/basic/tutorial.html

WEBThis is documentation for an old release of Scikit-learn (version 0.21). Try the latest stable release (version 1.4) or development (unstable) versions. An introduction to machine learning with scikit-learn ¶. Section contents.

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A Gentle Introduction to Scikit-Learn - Machine Learning Mastery
machinelearningmastery.com

https://machinelearningmastery.com/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library/

WEBAug 16, 2020 · What is scikit-learn? Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python. It is licensed under a permissive simplified BSD license and is distributed under many Linux distributions, encouraging academic and commercial use.

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scikit-learn Tutorials — scikit-learn 1.4.2 documentation
scikit-learn.org

https://scikit-learn.org/stable/tutorial/index.html

WEBscikit-learn Tutorials — scikit-learn 1.4.2 documentation. scikit-learn Tutorials ¶. An introduction to machine learning with scikit-learn. Machine learning: the problem setting. Loading an example dataset. Learning and predicting. Conventions. A tutorial on statistical-learning for scientific data processing.

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