And that sums it up! You can now build basic classifiers yourself - the classic problem of classifying emails as spam and not-spam is now something you can replicate yourself. We have seen various clustering algorithms such as K-means, and hierarchal clustering algorithms. We discussed what supervised and unsupervised learning algorithms are, and saw examples of how to run both using scikit-learn.
You can also explore your text data in all sorts of ways with the clustering and topic modeling tools we have. Let's attempt to go one step further in the next chapter - and build a basic information retrieval machine which can search for similar documents.
