Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste
In this project you can find the slides and the code I made for my lecture on Local Polynomial Regression.
Local Polynomial Regression is a powerful regression technique extensively used for scatterplot smoothing with the method of Locally Estimated Scatterplot Smoothing (LOESS), that is the default in ggplot2::geom_smooth() function in R.
In the lecture I presented the idea behind Local Polynomial Regression and some of its benefits.