We went through a bunch of fundamental machine learning concepts in the previous chapter. We learned about them along with analogies, in a fun way, such as studying for exams and designing a driving schedule. Starting from this chapter as the second step of our learning journal, we will be discovering in detail several important machine learning algorithms and techniques. Beyond analogies, we will be exposed to and solve real-world examples, which makes our journey more interesting. We will start with a natural language processing problem—exploring newsgroups data. We will gain hands-on experience in working with text data, especially how to convert words and phrases into machine-readable ...
Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
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