Build a Spam Detector AI with Text Classification

Build a Spam Detector AI with Text Classification

$50

$50
Includes:
  • 16 Lessons
  • Lifetime, 24/7 Access
  • Certificate of Completion
  • Closed Captions
Join 350,000 Satisfied Students
$50

Overview

This title is part of the Python Mini-Degree – 13 Courses to Learn and Master Python

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 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 13 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.

https://www.youtube.com/watch?v=oYGVCPt22Cs

Learn more and enroll HERE.

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Curriculum

Requirements

    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.

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