Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka

This tutorial aims to provide an introduction to machine learning and scikit-learn “from the ground up”. We will start with core concepts of machine learning, some example uses of machine learning, and how to implement them using scikit-learn. Going in detail through the characteristics of several methods, we will discuss how to pick an algorithm for your application, how to set its parameters, and how to evaluate performance.

Tutorial materials found here:

See the complete SciPy 2016 Conference talk & tutorial playlist here:

4 comments

  1. Enthought says:

    Tutorial materials found here:

    See the complete SciPy 2016 Conference talk & tutorial playlist here:
    

  2. Kunal Shah says:

    I don’t have watermark – for python 3.5. I am not able to find it. Any idea
    how to install it? Conda is giving an error –

    kunalshah@scikit-learn:~/scipy-2016-sklearn$ conda install watermark
    Fetching package metadata …….
    Solving package specifications: .
    PackageNotFoundError: Package not found: ” Package missing in current
    linux-64 channels:
    – watermark

    Close matches found; did you mean one of these?

    watermark: aterm

    You can search for packages on anaconda.org with

    anaconda search -t conda watermark

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