Hello and welcome to part 12 of the Python for Finance tutorial series. In the previous tutorial, we covered how to take our data and create featuresets and labels out of it, which we can then feed through a machine learning algorithm with the hope that it will learn to map relationships of existing price changes to future price changes for a company.
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