Machine learning with R and the tidyverse
This is the landing page for the Sydney Informatics Hub’s “Machine learning with R and the tidyverse”.
Schedule
This course is designed to be delivered either as 2 day face-to-face workshop or as four half day sessions delivered online.
| Day 1 | |
| Morning | Introduction to machine learning |
| Exploratory data analysis (EDA) - Regression | |
| Afternoon | Get started with tidymodels and workflows |
| Day 2 | |
| Morning | EDA - Classification |
| Afternoon | Tuning hyperparameters and compare multiple model workflows |
Prerequisites
This course assumes intermediate R knowledge. This workshop is for you if:
- You can use the
magrittrpipe %>%; - You are familiar with functions from
dplyr,tidyr, andggplot2; - You can read data into R, transform and reshape data, and make a wide variety of graphs.
- You can use the
We expect participants to have some exposure to basic statistical concepts, but NOT intermediate or expert familiarity with modeling or machine learning;
You need your own laptop with R and a few key packages installed. See setup instructions for more details.