Introdução ao Machine Learning com R
Material do curso de Introdução ao Machine Learning com R da ASN.Rocks para a Turma T2
Aula de Introdução ao Machine Learning
Professor: Athos Damiani
Realização: ASN.rocks
Pré-requisitos
Configuração: Instalar pacotes
install.packages('tidyverse')
install.packages('tidymodels')
install.packages('rmarkdown')
install.packages('knitr')
install.packages('ISLR')
install.packages('glmnet')
install.packages('xgboost')
install.packages('randomForest')
install.packages('ranger')
install.packages('rpart')
install.packages('rpart.plot')
install.packages('pROC')
install.packages('vip')
install.packages('modeldata')
install.packages('usemodels')
install.packages('tidypredict')
install.packages('jpeg')
install.packages('MASS')
install.packages('DataExplorer')
install.packages('skimr')
install.packages('naniar')
install.packages('patchwork')
Slides
| slide | link |
|---|---|
| 01-intro-ml.html | https://curso-r.github.io/asn-intro-ml/slides/01-intro-ml.html |
| 03-modelos-de-arvores.html | https://curso-r.github.io/asn-intro-ml/slides/03-modelos-de-arvores.html |
Referências externas
Machine Learning
- Introduction to Statistical Learning (Hastie, et al)
- Elements of Statistical Learning (Hastie, et al)
- Computer Age Statistical Inference (Hastie, Efron)
- Tidymodels (Kuhn, et al)
- Feature Engineering and Selection: A Practical Approach for Predictive Models (Kuhn, Kjell)
- Kaggle
Programação em R
- Livro da Curso-R (Curso-R)
- Tidyverse (Wickham H)
- R for Data Science (Wickham H)
- Advanced R (Wickham H)