Logo

Code Fellows

Navigation

  • index
  • Python 401 2.1 documentation »

Tuesday¶

Objectives¶

  • Learn about when and why to re-scale data
  • Use K-Nearest Neighbors to predict categories by distance

Readings¶

  • Feature Scaling and Normalization
  • A Detailed Introduction to K-Nearest Neighbors
  • K-Nearest Neighbors Algorithm (Wikipedia)
  • How KNN Works (video)

Review¶

Concepts¶

  • Rescaling Data
    • Simple Rescaling
    • Orders of Magnitude
  • K-Nearest Neighbors Classifier
    • The Algorithm
    • Advantages
    • Disadvantages
    • Attributes
    • Operations
  • Final Whiteboarding

Demo¶

Assignments¶

  • Implement the K-Nearest Neighbors Classifier
  • Group Project: Begin User Stories
  • Django: Add Social Authentication
  • Technical Blog Post: Publish Your Post (Due Friday)
  • Today I learned...

Table Of Contents

  • Tuesday
    • Objectives
    • Readings
    • Review
    • Concepts
    • Demo
    • Assignments

Quick search

Enter search terms or a module, class or function name.

Navigation

  • index
  • Python 401 2.1 documentation »
© Copyright 2014-2016, Cris Ewing, Nicholas Hunt-Walker. Created using Sphinx 1.3.5.