Github Link for this project

In this project, Principal Component Analysis (PCA) without built-in functions was implemented in Python, and this implementation was used for image reconstruction on MNIST Dataset. The goal of this side project was to show how PCA works with a solid example.

Keywords about the project:

• Image Processing
• Machine Learning
  • Dimensionality Reduction
  • Principal Component Analysis (PCA)
  • Proportion of Variance
  • Mean-square error
  • Eigenvalues and Eigenvectors
• Python
  • matplotlib
  • numpy

More Information

To learn more about the project, you can read the report Implementation of Principal Component Analysis (PCA) with Python and Dimensionality Reduction with MNIST Dataset.