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Scikit Install

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Here you will learn about Python Scikit learn For ML and Data Science.

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What is Scikit learn?

Scikit learn is a free machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

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Scikit-learn was initially developed by David Cournapeau as a Google summer of code project in 2007. Now it is open source and maintained by a team of developers.

Installation

1. Open your terminal and type the following command to install scikit-learn.

pip
terminal
pip install -U scikit-learn
conda
terminal
conda create -n sklearn-env -c conda-forge scikit-learn
conda activate sklearn-env

2. In order to check your installation you can use

pip
terminal
python -m pip show scikit-learn  # to see which version and where scikit-learn is installed
python -m pip freeze  # to see all packages installed in the active virtualenv
python -c "import sklearn; sklearn.show_versions()"
conda
terminal
conda list scikit-learn  # to see which scikit-learn version is installed
conda list  # to see all packages installed in the active conda environment
python -c "import sklearn; sklearn.show_versions()"

For more information on how to install scikit-learn, see the installation guide (opens in a new tab).

Unsupervised DetailsTraining And Test Data