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StatQuest: Principal Component Analysis (PCA), Step-by-Step
21:58
YouTubeStatQuest with Josh Starmer
StatQuest: Principal Component Analysis (PCA), Step-by-Step
Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important. Lastly, it can tell you how accurate your new understanding of the data actually is. In this video, I ...
3.5M viewsApr 2, 2018
PCA Explained
Principal Component Analysis (PCA) - easy and practical explanation
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Principal Component Analysis (PCA) - easy and practical explanation
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Basics of PCA (Principal Component Analysis) : Data Science Concepts
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Basics of PCA (Principal Component Analysis) : Data Science Concepts
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Introduction to Principal Component Analysis (Pt. 1 - Theory) | PCA Explained | Tutorial & Example
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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
1:59
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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Benefits of patient controlled ANALGESIA
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Jump to key moments of Principal component analysis PCA Tutorial

21:58
From 16:28Complex Example: PCA with 3 Variables
StatQuest: Principal Component Analysis (PCA), Step-by-Step
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