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This second part of the tutorial session from SciPy 2018 provides an introduction to machine learning and scikit-learn “from the ground up” –starting 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, Andreas Mueller and Guillaume Lemaitre discuss how to pick an algorithm for your application, how to set its hyper-parameters, and how to evaluate performance.

Link to materials

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