scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. Show The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the page for a list of core contributors. Scikit-learn is an open source machine learning library for Python. You have a number of options when it comes to installing scikit-learn, depending on your needs:
Scikit-Learn Step by Step InstallationFor most users, the best approach is to install the binary version of scikit-learn using an official release from pypi.org, the Python Package Index. You can do so with the following steps: 1. Scikit-learn requires Python 3.6+. To check which version of Python you have installed, run the following command: python3 --version The output should be similar to: Python 3.8.2 2. If you have a valid Python version you can run the following command to download and install a pre-built binary of scikit-learn: pip install scikit-learn The following dependencies will be automatically installed along with scikit-learn:
Alternatively, if you already have scikit-learn and/or any of its dependencies are already installed, they can be updated as part of the installation by running the following command: pip install -U scikit-learn You can verify your Scikit-learn installation with the following command: python -m pip show scikit-learn The output should be similar to: If you want to create plots and charts based on the data you use in scikit-learn, you may also want to consider installing matplotlib. For information about matplotlib and how to install it, refer to ‘What is Matplotlib in Python’? How to Import Scikit-Learn in PythonOnce scikit-learn is installed, you can start working with it. A scikit-learn script begins by importing the scikit-learn library: import sklearn It’s not necessary to import all of the scitkit-learn library functions. Instead, import just the function(s) you need for your project. For example, to import the linear regression model, enter: from sklearn import linear_model Or try: from sklearn.linear_model import LinearRegression The following tutorials will provide you with step-by-step instructions on how to work with machine learning Python packages:
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