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4:44
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Vivian Aranha
Part 15: Principal Component Analysis (PCA) Implementation in Python
Principal Component Analysis (PCA) is a widely used dimensionality reduction technique in machine learning and data analysis that transforms high-dimensional data into a lower-dimensional space while retaining as much variability in the data as possible. PCA works by identifying the directions, or principal components, in which the data varies ...
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