How to Ace PCA Questions on Your Exam
Struggling with PCA? Here is the no-BS guide to understanding it, complete with real-world examples and study shortcuts.
D
David Kim · Curriculum Designer
Are you consistently losing points on PCA because of running PCA before standardizing the data? If so, you're making the exact same error as 80% of your class.
Your Timeline
- Minute 1: Identify the variables. Don't start solving.
- Minute 2: Check for edge cases. Are you about to commit the sin of running PCA before standardizing the data?
- Minute 3-5: Execute. Keep this application in mind: Principal Component Analysis looks for axes of maximum variance. If you don't scale the data first, PCA will just point toward the variable with the largest absolute numbers.
Stick to the timeline. Methodical execution beats panicked guessing every single time.
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