Machine Learning : Dimensionality Reduction Principal Component Analysis(PCA) - (Part 32)

Dimensionality reduction is a fundamental technique in machine learning (ML) that simplifies datasets by reducing the number of input variables or features. This simplification is crucial for enhancing computational efficiency and model performance, ...