Scikit is a very popular machine learning library for Python. It also contains many features for visualizing data and classifiers.

Install at your computer

Installation instructions can be found here.

Here is a good getting started guide to Scikit.

Scikit on Mac

Installing Scikit on Mac can be a bit tricky if you don’t have a GCC compiler installed. I managed to install it using the following steps:

  • Install NumPy:
    pip3 install -U --user NumPy
  • Download GCC, unpack it and copy to /usr/local/
  • Download GFortran, unpack it and copy to /usr/local/
  • Install SciPy:
    pip3 install -U --user SciPy
  • Install Scikit:
    pip3 install -U --user scikit-learn
  • Pip can only install packages for the current user, so you need to copy/move the installation folders to the system packages folder:
    sudo cp -R ~Library/Python/2.7/lib/python/site-packages/numpy /Library/Python/2.7/site-packages/
    sudo cp -R ~Library/Python/2.7/lib/python/site-packages/scipy /Library/Python/2.7/site-packages/
    sudo cp -R ~Library/Python/2.7/lib/python/site-packages/scikit-learn /Library/Python/2.7/site-packages/


You can use Google Colab or Microsoft Azure for free for Python programming, including Scikit, TensorFlow and Keras libraries.

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