Build a Spam Detector AI with Text Classification
This title is part of the Python Mini-Degree – 12 Courses to Learn and Master Python
In this course we’ll use Python 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 an improved accuracy.
To build our AI we’ll use the publicly available Enron dataset.
About the Python Mini-Degree
The Python Mini-Degree is a bundle of 12 online video courses, that go all the way from teaching you how to code in Python while making a game, to building your own Artificial Intelligence (AI) and Internet of Things (IoT) applications using Computer Vision, Machine Learning and Deep Learning.
Learn more and enroll HERE.
This course builds up on the concepts covered in our course Build Sarah - An Image Classification AI.
You need to have Python 2.7 installed.
It is recommended to take this course as part of the Python Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more.