charliezcr / PCA

Showcase of dimension reduction by Principal Component Analysis on banknote authentication dataset

PCA

Project Overview

Principal component analysis (PCA) is the most common method for dimension reduction. In this article I will use PCA to showcase dimension reduction on 'banknote authentication' dataset from UCI Machine Learning Repository

Contents

Please view the code at Python notebook or website

Modules

pip install these modules

• pandas: data processing
• numpy: linear algebra
• scikit-learn: machine learning
• matplotlib: visualization