PCA Explained Step by Step Numerical Example for Beginners & Pros 🧮📊
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PCA Explained Step by Step Numerical Example for Beginners & Pros 🧮📊
"Welcome to this step-by-step tutorial on Principal Component Analysis (PCA)! Whether you’re a beginner just starting out in data science or a professional looking to deepen your understanding, this video is for you. In this tutorial, we’ll walk through a numerical example of PCA from scratch, breaking down each step in a clear and easy-to ...
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Artificial Intelligence | AI on Instagram: "Principal Component Analysis (PCA) is an unsupervised machine learning technique used for dimensionality reduction while preserving as much variance as possible in a dataset. It transforms the original correlated variables into a new set of uncorrelated variables called principal components. The process begins by centering the data (which is subtracting the mean), then computing the covariance matrix to capture the relationships between variables. Eige
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