Machine Learning
Navigating Data Simplification with PCA
Grasp the essentials of dimensionality reduction and lay the groundwork for your journey by understanding and implementing Principal Component Analysis (PCA) using R. This launchpad course provides a comprehensive introduction into why, how and when to use PCA for feature extraction and enhancing computational efficiency in high-dimensional data sets.
ggplot2
R
4 lessons
14 practices
3 hours
Feature Engineering
Course details
Principal Component Analysis
Principal Component Analysis on Weight Data
Reducing Dataset Dimensions with PCA
PCA Transformation for Space Data
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