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
Please view the code at Python notebook or website
pip install these modules
- pandas: data processing
- numpy: linear algebra
- scikit-learn: machine learning
- matplotlib: visualization