MLFE R labs (2023 ed.)
2023-05-29
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 2022/23). The MLFE course is the second module of the Coding for Data Science 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 and 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.
print("Hello MLFE World!")
## [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 or r.samei@studenti.unibg.it.