Introduction to Machine Learning covers the fundamentals of the machine learning workflow, which is the approach you’ll use to build and tweak models regardless of the specific algorithm you’re using.
Because Dataquest is focused on hands-on learning, rather than just telling you about the workflow, we’ll walk you through it step-by-step as you build and optimize a model using the k-nearest neighbors algorithm
To do that, you’ll use your R programming skills and the caret package for machine learning in R.
The course starts by walking you through building and evaluating a univariate model using error metrics and simple validation. Then, you’ll go deeper into more advanced topics like multivariate models, cross validation, and hyperparameter optimization.