Tree & Forest Models in R
Introduction to Classification and Regression Trees (CARTs)
An introduction to using classification and regression trees in R. This covers the basics of how these models work and how to get started using them with R.
modeling
trees&forests
R
Introduction to Random Forests
An introduction to random forest models in R. This covers the basics of how random forests work and how to get started using them with R.
modeling
trees&forests
R
Advanced methods with Random Forests
In this second RF tutorial I go over how to optimize random forest models in R using the {tidymodels} package. We also look at various methods for interpreting and explaining these models.
modeling
trees&forests
R
tidy
Webscraping in R
Webscraping, what is it?
An introduction to webscraping in R. This covers the basics of how to use CSS selectors and the very cool {rvest} package in R to get data from the web.
datacollection
R
tidy
Using APIs
In this second Webscraping tutorial I go over how to use different packages to request data from public APIs such as those for Twitter, Reddit, Yelp, and other sites.
datacollection
R
tidy
Basic NLP With Python and SpaCy
Introducing spaCy
An introduction to the excellent {spaCy} module for natural language processing in Python. This covers the basics of how to create spaCy objects, how they are structured, and how to get basic information from them, e.g. lemmas, POS tags, and dependency relations. Note this tutorial focuses on English only.
NLP
python
spacy
Working with dependency parses
In this second tutorial I explore how spaCy parses English. I focus in particular on a few particularly challenging phenomen to illustrate some of the benefits and challenges of using spaCy for extracting natural language data.
NLP
python
spacy