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PCA Using Python: A Tutorial | Built In

PCA Using Python: A Tutorial | Built In

Principal component analysis (PCA) in Python can be used to speed up model training or for data visualization. Here's how to carry out both using scikit-learn.

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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer

Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer

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PCA (Principal Component Analysis) in Python - ML From Scratch 11 - Python Engineer

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