In this R course, we'll see how PCA can reduce a 5000+ variable data set into 10 variables and barely lose accuracy!
What Will I Learn?
- Understand various ways of reducing wide data sets
- Understand Principal Component Analysis (PCA)
- Control, tune and measure the effects of PCA
- Use GBM modeling to measure the effectiveness of PCA
- Reducing dimensionality with classic GBM & GLMNET Variable Selection
- Use ensembling techniques to find the most stable variables
Includes:
- 2.5 hours on-demand video
- 5 Supplemental Resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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