HOWTO
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Equip yourself with a powerful machine learning tool by learning how to install Scikit-learn on either CentOS9 or RHEL9 – our comprehensive review has got you covered!
Scikit-learn is a Python library used for machine learning, data mining, and data analysis. It provides a range of modules for classification, regression, clustering, and dimensionality reduction. In this article, we will discuss how to install Scikit-learn on RHEL9 or CentOS9.
Scikit-learn was first released in 2007 by David Cournapeau as an open-source library for machine learning in Python. It is built on top of the NumPy and SciPy libraries and provides a range of modules for machine learning. Scikit-learn has become a standard library for machine learning and data analysis.
Scikit-learn is a Python library that provides support for machine learning, data mining, and data analysis. It provides a range of modules for classification, regression, clustering, and dimensionality reduction. Scikit-learn is built on top of the NumPy and SciPy libraries and provides a range of customization options to create high-quality machine learning applications.
The following steps will guide you on how to install Scikit-learn on RHEL9 or CentOS9.
Before we begin, it’s always a good practice to update the system to the latest version. Run the following command to update the system:
$ sudo <enter linux commands>
Scikit-learn can be installed using pip, which is a package installer for Python. Run the following command to install pip:
$ sudo dnf install python3-pip
Now that pip is installed, we can use it to install Scikit-learn. Run the following command to install Scikit-learn:
$ pip3 install scikit-learn
To verify that Scikit-learn is installed, open the Python interpreter by running the following command:
$ python3
Python 3.9.14 (main, Jan 9 2023, 00:00:00)
[GCC 11.3.1 20220421 (Red Hat 11.3.1-2)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
Once you are in the Python interpreter, import Scikit-learn by running the following command:
Type "help", "copyright", "credits" or "license" for more information.
>>> import sklearn
If there are no errors, Scikit-learn is successfully installed.
Here are some best practices that you should follow when using Scikit-learn:
In this article, we discussed how to install Scikit-learn on RHEL9 or CentOS9. Scikit-learn is a powerful Python library for machine learning, data mining, and data analysis, providing a range of modules for classification, regression, clustering, and dimensionality reduction. By following the installation procedure and best practices, you can start using Scikit-learn for your machine learning needs.
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