How to Make a PCA Biplot in Python

In this video we will cover how to make a Biplot in Python. Biplots are an important visualization tool for analyzing the results from a PCA run on a set of features. After introducing the idea behind these plots, we'll work through a Python implementation, and then test it on the IRIS dataset. The break-down of this video is as follows: Introduction 00:00 What is a Biplot? 01:18 Jupyter Notebook Setup 02:53 Biplot Implementation in Python 03:30 IRIS Example 7:56 Conclusions 12:25 The best way to keep up-to-date with my video/blog content is to sign up for my monthly Newsletter! Please visit: https://insidelearningmachines.com/newsletter/ to register. The notebook presented here can be found at: https://github.com/insidelearningmachines/Blog/blob/main/%5BVideo%5D%20PCA_Biplot.ipynb This video is based off of an article on my blog. You can find that blog article here: https://insidelearningmachines.com/biplot/ My article describing the PCA algorithm can be found here: https://insidelearningmachines.com/pca_machine_learning/ The homepage of my blog is: https://insidelearningmachines.com Other social media includes: Twitter: https://twitter.com/inside_machines Facebook: https://www.facebook.com/Inside-Learning-Machines-112215488183517 #machinelearning #datascience #pca #python #insidelearningmachines