Data Science Series Principal Component Analysis (PCA) In-depth

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Data Science Series: Principal Component Analysis (PCA) In-depth
by Zacharias Voulgaris PhD
English | 2018 | MP4 | Video: 720 | Subtitles: no | Duration: 23m | 16 MB

Explore PCA with us in detail so you can confidently apply this unsupervised learning method in your data science projects. We cover variance as a proxy for information in a dataset and how to transform the dataset with matrix rotation. How does PCA compare to Singular Value Decomposition (SVD)? Find out in this video, along with exploring the many PCA use cases.

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