Lecture content

• exploratory data analysis in Python
• training data
• creating classifiers
• parameter selection, Validation, and Testing

Materials

• Tutorial on classification
• Complex example on Training and testing
• Grid Search notebook

Reading

• Chapter 13 in Python Data Analysis.

Further reading

• Exploratory data analysis in the Think stats book.
• Hyperparameters