AI Algorithms

Simple Classification you own this product

This project is part of the liveProject series Four AI Algorithm Projects with Python
prerequisites
basic Python • basic mathematics
skills learned
simple classification algorithms • K-nearest neighbors (KNN) • K-means • Naïve Bayes • hierarchical clustering
Rod Stephens
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside

This liveProject puts you on the front lines at an indie bookstore, where poorly scrawled notes threaten to bring sales to a standstill. Learning classification algorithms from the ground up, you'll use four different and surprisingly simple classifiers to develop an AI solution that turns illegible scribbles into recognizable numbers.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

prerequisites

If you know the basics of Python, you know everything you need to get started with these liveProjects!

you will learn

In this liveProject, you’ll learn real artificial intelligence techniques and algorithms and put them into practice.


  • The n-nearest neighbors algorithm for classifying data points
  • The k-means algorithm for identifying clusters and classifying data points
  • The naïve Bayes algorithm for classifying data points
  • The hierarchical clustering algorithm for identifying clusters and classifying data points

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book resources
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