Unsupervised learning methods are central to your journey in data science. Learn how to reduce the number of dimensions in your data set, aggregate data into factors, and cluster your data points to make clear, robust conclusions about your data!
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract ins…
Explore latent variables, such as personality using exploratory and confirmatory factor analyses.
Senior Data Scientist, Boeing
Lead Data Scientist at Memorial Sloan Kettering Cancer Center
Psychometrician at Ascend Learning
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