The caret package (short for Classification And Regression Training) is one of the most popular R packages to handle statistics and machine learning problems. It contains functions to streamline the model training process for complex regression and classification problems and makes the process of training, tuning, and evaluating machine learning models in R consistent and easy.

During this session, you will be introduced the basic functionalities of the caret package using real-world datasets.

Basic knowledge of R and linear regression are helpful for you to understand the content of this webinar.

Registration Link: https://libcal.dartmouth.edu/calendar/itc/DSAI2021W2

** Registrants will receive a zoom link one day before the webinar.