Fri March 6

Discuss the k-nearest neighbors machine learning algorithm.

• I've done an abalone example.
• Your work.

Next week we're doing the next ML model in the textbook : naive bayes spam classification; chapter 13. The math is somewhat persnickity, but the basic idea will hopefully make sense.

For next week,

• read chapter 13 in the text. I encourage you to try out some of that code.
• start thinking about what data you might want to study for a term project - some sort of data exploration and/or machine learning thing.