PCA Explained Principal Component Analysis with Python NumPy #facts
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PCA Explained Principal Component Analysis with Python NumPy #facts
Principle component analysis PCA is behind facial recognition data compression and more This video shows you exactly how its core idea works line by line using python PCA or principal component analysis is a powerful technique for reducing the dimensionality of data while preserving what matters most Why should we care Here's why It helps us ...
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Artificial Intelligence | AI on Instagram: "Principal Component Analysis (PCA) is an unsupervised machine learning technique used for dimensionality reduction while preserving as much variance as possible in a dataset. It transforms the original correlated variables into a new set of uncorrelated variables called principal components. The process begins by centering the data (which is subtracting the mean), then computing the covariance matrix to capture the relationships between variables. Eige
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