This course will be retired on January 8, 2022.
Automated Feature Selection5:55 with Alyssa Batula
There are algorithms that can help decide which features are most relevant, or even do the feature selection themselves, and this video introduces the basics of a few simple methods.
- Correlation -- Mutual relationship or interdependence between different features. A measure of how much features change together, where 1 indicates perfect positive correlation, -1 indicates perfect negative correlation, and 0 indicates no correlation.
Data Source Information:
National Health and Nutrition Examination Survey (NHANES) main site
NHANES 1999-2000 information
Body Measurements Documentation/Codebook
Scikit Learn Documentation: Feature selection
An Introduction to Feature Selection, by Jason Brownlee
The Practical Importance of Feature Selection, by Matthew Kayo
An Introduction to Variable and Feature Selection [PDF], by Isabelle Guyon and André Elisseeff, edited by Leslie Pack Kaelbling
mlR Documentation: Feature Selection (R-language based)
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