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In this tutorial, we will learn how to analyze text data using machine learning. We will use numpy, scikit-learn, and classifiers to classify spam versus non-spam in our own spam detector. The data is stored in a CSV file, which we read and change the separator to a tab. The data frame is imported, and we can see there is spam and non-spam data. We have 5572 records in total.
