July 2018
Intermediate to advanced
334 pages
8h 20m
English
In this chapter, we created a spam classifier. We started with two datasets, one representing ham and the other, spam. We combined both datasets into one combined corpus that we put through a set of preprocessing steps, as mentioned in the Implementation steps section.
In the next chapter, we will build on some of the techniques learned so far to create a fraud detection ML application.
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