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In this tutorial, the focus is on text classification using Python code and the naive bayes classifier. The goal is to classify news headlines into different topics for a news website. It is suggested to request shopping cart data to practice with Python code at your own pace. The tutorial provides an image of Google News and discusses subgroups for classification. The actual data source is not specified, but the method can be applied to any news headlines. The tutorial will demonstrate how to use the naive bayes classifier for text classification.
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