I’ve been creating a video series on machine learning in R. Two videos are up and there is a third on the way.
The first video series is a Getting Started series that looks at predicting continuous values, classification, and other first steps into modeling. I start with using the algorithms directly, and finish with the caret package. It’s available here.
The second video series is picks up on more advanced algorithms and techniques, for example random forests, support vector machines, clustering and text processing. I tried to focus on fairly serious data sets that might resemble the type you would use in the real world. The second video series is available here.
The third video series is still in production and will be available here when it launches.