EDUCATION & TRAINING
PCA (Principal Component Analysis): Finding the Hidden Structure in High‑Dimensional Data
Dev.to Machine Learning
About This Tutorial
1. The Problem It Solves Imagine you have a dataset with 100 features, for example, pixel values from 10×10 grayscale images, or 100 different sensor readings from a factory machine. Visualising the data is impossible, many features might be redundant (e.g., two sensors that always move together), and