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What does PCA stand for in the context of feature engineering?
Practice Questions
Q1
What does PCA stand for in the context of feature engineering?
Partial Component Analysis
Principal Component Analysis
Predictive Component Analysis
Probabilistic Component Analysis
Questions & Step-by-Step Solutions
What does PCA stand for in the context of feature engineering?
Steps
Concepts
Step 1: Understand that PCA is an abbreviation.
Step 2: Know that PCA stands for Principal Component Analysis.
Step 3: Learn that PCA is a method used in data processing.
Step 4: Recognize that PCA helps reduce the number of features in a dataset.
Step 5: Understand that this reduction makes it easier to analyze and visualize data.
No concepts available.
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