How to Calculate the Principal Component Analysis from Scratch in Python - Machine Learning Mastery

An important machine learning method for dimensionality reduction is called Principal Component Analysis. It is a method that uses simple matrix operations from linear algebra and statistics to calculate a projection of the original data into the same number or fewer dimensions. In this tutorial, you will discover the Principal Component Analysis machine learning method for dimensionality reduction and how to implement it from scratch in Python. How to Calculate the Principal Component Analysis from Scratch in Python Photo by mickey, some rights reserved. Take my free 7-day email crash course now (with sample code).