Machine Learning for Economics 2020/21: R labs
2021-05-31
Chapter 1 Welcome! :)
You are reading the lecture notes of the R labs for the Machine learning for Economics (MLFE) course at University of Bergamo (academic year 2020/21). The MLFE course is the second module of the Coding and Machine Learning course.
The MLFE R labs are designed for students who already have some experience with R programming thanks to the first module of the Coding and Machine Learning course. Click here to access the R lab notes of the first module regarding introduction to R language and the tidyverse package.
Enjoy the journey!
Bibliography
- R for Data Science: https://r4ds.had.co.nz/
- An Introduction to Statistical Learning: pdf link
In the following lecture notes, this font (with grey background) represents R code. The following is an example of R code with the corresponding output.
## [1] "Hello MLFE World!"These notes are written in RStudio by using bookdown (https://bookdown.org/). For errors, typos, suggestions, … write to michela.cameletti@unibg.it.