Skip to content
#

matplotlib-library

Star

Here are 2 public repositories matching this topic...

Language: Python
Filter by language
All 6 Jupyter Notebook 4 Python 2

SCUS3 / Principal-Component-Analysis-PCA-Implementation

Star 0

This repository contains a Python implementation of Principal Component Analysis (PCA) for dimensionality reduction and variance analysis. PCA is a powerful statistical technique used to identify patterns in data by transforming it into a set of orthogonal (uncorrelated) components, ranked by the amount of variance they explain.

scikit-learn data-visualization dimensionality-reduction principal-component-analysis covariance-matrix numpy-library variance-analysis matplotlib-library eigenvalues-and-eigenvectors
  • Updated Jun 6, 2024
  • Python

Improve this page

Add a description, image, and links to the matplotlib-library topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the matplotlib-library topic, visit your repo's landing page and select "manage topics."

Learn more