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

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 or .