# Uncategorized

## Complete and Simple PCA SVD Tutorial Note

Ref: http://setosa.io/ev/principal-component-analysis/ https://matthew-brett.github.io/teaching/pca_introduction.html https://blog.statsbot.co/singular-value-decomposition-tutorial-52c695315254 http://www.bluebit.gr/matrix-calculator/calculate.aspx PCA is the major method to reduce features/variables before you train your data in the machine learning. It uses the top K most varianceRead More

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