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In the post, we will learn about how to create a classifier model in machine learning using python. We will create a supervised classifier model that will train a dataset with a set of features and then use test data to predict price direction at day k with information only known at day k-1. Price direction can be up when the closing price at t is higher than the price at t-1, and down when the closing price at t is lower than at t-1.