Aug. 16, 2022, 5:32 p.m. | Yoann Mocquin

Towards Data Science - Medium towardsdatascience.com

PCA-whitening vs ZCA-whitening : a numpy 2d visual

A matrix approach to standardizing your data

Image by author

One of the first step when dealing with new data in data-science and machine learning is often to standardize — or “scale”- your data. The most common procedure — often called Z-score Normalization — is simply to remove the mean from each column-feature, and divide it by its standard-deviation. You’re left with features that have 0-mean and 1-variance. This make every feature …

data science linear algebra numpy principal-component python

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