Lesson 1:

• Example of model building
  • Toxic and non toxic classification
  • Advertising - collaborative filtering
• QMV iterative process of analysis
  • Questioning
  • Modeling
  • Validating
• Must choose a metric capturing the phenomenon
• Classification vs Regression in a scenario
• Classification - Naive Bayes, Perceptron, Logistic Regression
• Check if data has locality or spatial properties - kNN
• Consumer Choice Modeling
• Inter selection time