This week we will be covering k-nearest neighbors, both in regression form and classification.
James, G. et al. (2021). “An Introduction to Statistical Learning with Applications in R” (ISLR). Chapter 2.2.3 (pg. 37-42, but you can skip the subsection about Bayes classifier) and Chapter 3.5 (pg. 105-110).
Intuitive Machine Learning. (2020). “K Nearest Neighbors | Intuitive explained | Machine Learning Basics”. Video materials from Intuitive Machine Learning. Note: You can ignore the Python code part of the video.
Complete before Sunday Nov 7th (11:59 pm) (if your section is on Tue) or Tuesday Nov 9th (11:59 pm) (if your section is on Thu). You can find the assignment here.
Here is the R code we will review in class, with some additional questions Download