Machine Learning

Principal Components Analysis (PCA) Implementation

Applies PCA to the scikit-learn breast cancer dataset to reduce feature dimensionality and visualize principal component structure.

Apr 2025 Eng. Ameen Qahtan

Project Overview

The notebook loads the Breast Cancer dataset via load_breast_cancer(), scales all features with StandardScaler, then fits PCA to capture principal components. It examines explained-variance ratios, projects the data onto the first two components for scatter‐plot visualization, and discusses how much variance is retained by successive components.