How to fit a Random Forest regression model in R - R for Data Science

This video shows an introduction to regression in R using the Random Forest (RF) algorithm. In the video you'll see first how to fit regression models with two different R packages, the randomForest and ranger packages, through the interface in the caret package. Fitting an RF model may take a long time, so in the video you can learn how to greatly reduce training time by implementing parallel processing. The video also demonstrates how to evaluate performance of the trained models on a test set so you can choose the best model based on the root mean squared error (RMSE) metric. This video is part of the series on R for Data Science.

Видео How to fit a Random Forest regression model in R - R for Data Science автора Секреты Творческой Реализации