The purpose of this repository is to provide a complete and simplified explanation of Principal Component Analysis, and especially to answer how it works step by step, so that everyone can understand ...

Dimensionality reduction is a crucial technique in machine learning that simplifies complex datasets by reducing the number of features (or dimensions) while preserving essential information. Two of ...