Scikit-Learn

Scikit-learn is a powerful open-source Python machine learning library designed to provide simple and efficient tools for data analysis and predictive modeling. It enables developers and data scientists to build classification, regression, clustering, and preprocessing pipelines with full control over their workflows.

Key Features of Scikit-learn:

• Open-source machine learning library for Python.
• Supports classification, regression, clustering, and dimensionality reduction.
• Built on NumPy, SciPy, and matplotlib.
• Simple APIs for model training and evaluation.
• Tools for preprocessing, feature engineering, and model persistence.

To check installed version of Scikit-learn Run:

$ sudo su
$ cd /opt
$ source /opt/sklearn-env/bin/activate
$ python -c "import sklearn; print(sklearn.__version__)"
To confirm run the command : $ python test.py 

Disclaimer:
Scikit-learn is an open-source project developed by the Scikit-learn community. This content is provided for informational purposes only. We are not affiliated with or endorsed by Scikit-learn. All trademarks and product names belong to their respective owners.