PCA from scratch using numpy library on IRIS dataset
This data sets consists of 3 different types of irises’ (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray The rows being the samples and the columns being: Sepal Length, Sepal Width, Petal Length and Petal Width.
Followed a tutorial on Youtube: How to implement PCA (Principal Component Analysis) from scratch with Python by AssemblyAI