Wednesday

Objectives

• Get introduced to unsupervised classification algorithms and how they’re used
• Walk through a brief introduction to the scikit-learn Python package
• Become familiar with K-Means Clustering

Readings

• Supervised and Unsupervised Machine Learning Algorithms
• Supervised and Unsupervised Learning
• K-Means Clustering

Concepts

• Unsupervised Classification
• K-Means Classifier
  • The Algorithm
  • Advantages
  • Disadvantages
  • Attributes
  • Operations

• Introduction to Scikit-Learn
• Final Whiteboarding

Demo

Assignments

• Group Project: Estimate User Stories
• Implement the K-Means Classifier
• Technical Blog Post: Publish Your Post (Due Friday)
• Today I learned...