====== Course material for module 2 ======

**Lecture notes:**

Friday lecture:\\
[[https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.1.pdf | 2StatLearn.1.pdf]]\\
[[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.1.html | 2StatLearn.1.html]]\\
[[https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.1.Rmd | 2StatLearn.1.Rmd]]\\

Monday lecture (interactive):\\
[[https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.2.pdf | 2StatLearn.2.pdf]] \\
[[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.2.html | 2StatLearn.2.html]]\\
[[https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/2StatLearn.2.Rmd | 2StatLearn.2.Rmd]]


**Additional R code used in the lecture:**

[[https://github.com/stefaniemuff/statlearning/blob/master/2StatLearn/Rcode_M2.R | Rcode_M2.R]]\\

**The online videos:** 

[[https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ | Online lecture by Hastie and Tibshirani, Chapter 2]]


**Recommended exercises:** 

   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2.pdf | RecommendedExercise2.pdf]]
   * [[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2.html | RecommendedExercise2.html]]
   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2.Rmd | RecommendedExercise2.Rmd]]

   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2-sol.pdf | RecommendedExercise2-sol.pdf]]
   * [[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2-sol.html | RecommendedExercise2-sol.html]]
   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise2/RecEx2-sol.Rmd | RecommendedExercise2-sol.Rmd]]