FIXME: home page introduction
Prerequisites
FIXME
FIXME: home page introduction
Prerequisites
FIXME
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction | What is the purpose of this course? |
| 00:00 | 2. Machine Learning Basics |
Why do we split data into training and testing sets?
When do we use validation sets? What is cross validation? How do we evaluate a model? What is bias and variance? |
| 00:00 | 3. Data Preparation |
How do you split your data?
What is a recipe? |
| 00:00 | 4. Building a Simple Workflow | How do we make a workflow using tidymodels? |
| 00:00 | 5. Hyperparameter Tuning | How do we tune the hyperparameters of a model? |
| 00:00 | 6. After Training a Model |
How do we test a model?
How do we save and load a model? |
| 00:00 | 7. Full Walkthrough For Classification | Can we apply what we have learnt to a new dataset? |
| 00:00 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.