Keyword Analysis & Research: sklearn

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
sklearn	0.25	0.2	7370	82	7

Keyword	CPC	PCC	Volume	Score
sklearn	0.93	0.8	2683	89
sklearn pca	0.06	0.8	3547	53
sklearn logistic regression	0.56	0.3	2384	52
sklearn svm	0.3	1	3196	19
sklearn kmeans	0.28	0.7	1745	10
sklearn svc	0.31	0.3	3622	19
sklearn linear regression	1.36	0.9	2917	40
sklearn pipeline	0.85	0.7	1910	24
sklearn train_test_split	1.9	0.8	7706	77
sklearn confusion matrix	1.89	0.9	2369	3
sklearn python	1.37	0.8	4417	45
sklearn metrics	0.8	0.6	7799	37
sklearn decision tree	1.2	0.7	2225	11
sklearn random forest	0.12	0.9	72	89
sklearn gridsearchcv	0.66	0.2	8369	89
sklearn install	0.65	0.4	7004	53
sklearn datasets	1.32	0.2	734	5
sklearn standardscaler	1.33	1	2539	95
sklearn train test split	0.51	0.9	8188	60
sklearn accuracy_score	1.84	0.7	6414	27
sklearn dbscan	1.48	0.5	5131	2
sklearn cross validation	1.6	0.5	1056	67
sklearn minmaxscaler	1.18	0.8	7910	44
sklearn preprocessing	0.25	0.3	7681	70
sklearn random forest regressor	0.51	0.4	8218	25

scikit-learn: machine learning in Python — scikit-learn 1.4.2 …
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.

DA: 80 PA: 72 MOZ Rank: 73

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

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

WEBThere are different ways to install scikit-learn: Install the latest official release. This is the best approach for most users. It will provide a stable version and pre-built packages are available for most platforms. Install the version of scikit-learn provided by your operating system or Python distribution .

DA: 79 PA: 85 MOZ Rank: 25

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

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

WEBAn 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. Statistical learning: the setting and the estimator object in scikit-learn.

DA: 23 PA: 74 MOZ Rank: 37

scikit-learn · PyPI
pypi.org

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

WEBSep 21, 2011 · Latest version. Released: Apr 9, 2024. A set of python modules for machine learning and data mining. Project description. scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

DA: 46 PA: 34 MOZ Rank: 36

scikit-learn - Wikipedia
wikipedia.org

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

WEBOperating system. Linux, macOS, Windows. Type. Library for machine learning. License. New BSD License. Website. scikit-learn .org. scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3]

DA: 82 PA: 23 MOZ Rank: 73

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.

DA: 8 PA: 70 MOZ Rank: 84

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.

DA: 47 PA: 24 MOZ Rank: 13

Introduction to Scikit-Learn (sklearn) in Python • datagy
datagy.io

https://datagy.io/python-scikit-learn-introduction/

WEBJan 5, 2022 · Table of Contents. What is Scikit-Learn in Python? Scikit-Learn is a free machine learning library for Python. It supports both supervised and unsupervised machine learning, providing diverse algorithms for classification, regression, clustering, and dimensionality reduction.

DA: 77 PA: 58 MOZ Rank: 9

A Beginners Guide to Scikit-Learn - Towards Data Science
towardsdatascience.com

https://towardsdatascience.com/a-beginners-guide-to-scikit-learn-14b7e51d71a4

WEBSep 22, 2020 · Scikit-learn, first developed as a Google Summer of Code project in 2007, is the now widely considered to be the most popular Python library for machine learning. There are a number of reasons why this library is seen as one of the best choices for machine learning projects, especially in production systems.

DA: 24 PA: 26 MOZ Rank: 92

All You Should Know About Scikit-Learn (Sklearn) | Built In
builtin.com

https://builtin.com/machine-learning/scikit-learn-guide

WEBMar 2, 2021 · Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building. Scikit-learn also provides a variety of packages for building linear models, tree-based models, clustering models and much more.

DA: 69 PA: 33 MOZ Rank: 72