Data Science Series: Principal Component Analysis (PCA) In-depth
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 23M | 35 MB
Genre: eLearning | Language: English

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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