Part II - Use PCA on a large dataset

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The objective of this part is to understand how PCA works, the connection between SVD and PCA, and the application of PCA to dimensionality reduction. You are required to pick a dataset that’s big and interesting to demonstrate your understanding of PCA. Make sure you give us the background of your data and tell me what you can conclude from the PCA results.

Apart from the wiki, some good places to start would be:

• A tutorial on PCA
• Math stackexchange's intuitive relationship between SVD & PCA
• SVD & PCA - Madsen04