Textbook information#
The course largely follows ISL-P, which is available at the link below. Note that there is also a version of the textbook in R, however we will be using Python in this course.
Course Textbook
An Introduction to Statistical Learning: With Applications in Python.
James, Witten, Hastie, Tibshirani, and Taylor.
Available as a FREE download at statlearning.com.
Some additional reading for those interested, although we will not have any assignments from this book:
Additional Reading
The Elements of Statistical Learning.
Hastie, Tibshirani, and Friedman.
Available as a FREE download at www-stat.stanford.edu/ElemStatLearn.