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Machine Learning Part 2 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka

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Published on Jul 19, 2016

Materials to follow along with the tutorial are available at: https://github.com/amueller/scipy-201...

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.

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