Build a Spam Detector AI with Text Classification
- 2.4 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 2.4 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
In this course we’ll use Python 3 to create an Artificial Intelligence (AI) that can determine when an incoming email is spam or not. The technique we’ll use to create this cool project is called Text Classification. The group of algorithms that we’ll cover and use is Naive Bayes. Using term frequency and inverse document frequency we’ll be able to tweak our AI for improved accuracy.
To build our AI we’ll use the publicly available Enron dataset.
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