In this chapter, we learned to detect phishing attempts by building three different projects from scratch. First, we discovered how to develop a phishing detector using two different machine learning techniques, thanks to cutting-edge Python machine learning libraries. The third project was a spam filter, based on NLP and Naive Bayes classification. In the next chapter, we will build various projects to detect malware, using different techniques and Python machine learning libraries.
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