Principal Components Analysis (PCA) Implementation

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

Python 3 & Jupyter Notebook NumPy & pandas Matplotlib
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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.

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Project Details

  • Completion Date April 2025
  • Category Machine Learning
  • Project Type HTML File

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Principal Components Analysis (PCA) Implementation