2 docs tagged with "PCA"

Implement Principal Component Analysis (PCA) to reduce the dimensionality of high-dimensional data while preserving its essential features. Visualize the transformed data to gain insights into underlying patterns.

In this post, we’ll explore Principal Component Analysis, a fundamental technique in unsupervised learning used for dimensionality reduction and data visualization.