【Data Science Project】 Exploring Principal Component Analysis Using the Classic Iris Dataset

btd
6 min readNov 17, 2023

I. Introduction

Principal Component Analysis (PCA) is a dimensionality reduction technique widely used in data analysis and machine learning. It helps uncover the underlying structure of high-dimensional data by transforming it into a set of linearly uncorrelated variables called principal…

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