Machine Learning with Scikit-Learn, Part 1


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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 hyper-parameters, and how to evaluate performance. This is a two part tutorial. Part 2 may be found here: See tutorial materials here:

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