Dive into classification, the branch of supervised machine learning for predicting categories, with this on-demand lecture!
In this “One Hour at Bootcamp” workshop, Kimberly Fessel, our Lead Data Scientist at Metis, walks students through how to identify classification problems and provides an introduction on one of the most fundamental classification algorithms: k-nearest neighbors (kNN).
Attendees of this workshop will:
- - Distinguish between regression and classification for supervised machine learning
- - Understand how the k-nearest neighbors algorithm makes class predictions
- - Recognize the pros and cons of kNN
Prerequisites: None for this technical workshop.
Your Instructor
Kimberly Fessel, Lead Data Scientist, Metis