Introducing scikit-learn and setting up training data | Even More Python for Beginners - Data Tools [19 of 31]

When working with machine learning, you typically create a model which can predict outcomes. You create this model by training it, showing it existing data. The first step then to training a model is to setup some training data, and then some testing data to ensure the model is behaving in an expected fashion. Fortunately, this is where scikit-learn comes into play. We'll chat through the basics of the library, and about testing and training data.

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