To a novice, this can be a frustrating task since the order of installation matters and many Google searches will only produce unhelpful and long-winded responses. The only problem with scikit-learn is that it builds off of some powerful-yet-finicky libraries, and you will need to install those libraries, NumPy and SciPy, before you can proceed with installing scikit-learn. I wanted to use something that was easy and powerful. I first encountered scikit-learn when I was developing prototypes for my first business venture. It provides a powerful array of tools to classify, cluster, reduce, select, and so much more. Scikit-learn is a great data mining library for Python. If it successfully imports (no errors), then sklearn is installed correctly. Test installation by opening a python interpreter and importing sklearn: Pip installed (If it is not already installed, download and install pip: ).The instructions are here:Īssumptions (What I expect to already be installed): If you are using Python 3, the process is simplified. Update: The instructions of this post are for Python 2.7.
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