D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
This is a stopgap solution to the slides in this repository. Ultimately, we'd like to move to a way that does not use a pdf at all - right now, we cannot edit this file.
We can, however, remove slides. This PR removes several slides - the unsupervised learning, the metrics, and a couple others. This should leave things easier to introduce. For example, it doesn't make sense to talk about unsupervised learning algorithms if the lesson is about classification.
This is a stopgap solution to the slides in this repository. Ultimately, we'd like to move to a way that does not use a pdf at all - right now, we cannot edit this file.
We can, however, remove slides. This PR removes several slides - the unsupervised learning, the metrics, and a couple others. This should leave things easier to introduce. For example, it doesn't make sense to talk about unsupervised learning algorithms if the lesson is about classification.
Closes #11. Closes #21.