This lesson is still being designed and assembled (Pre-Alpha version)

Applied Machine Learning With Tidymodels

FIXME: home page introduction

Prerequisites

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Schedule

	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.