Doug Lautzenheiser

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Both PCA and LDA are linear transformation techniques that can be used to reduce the number of dimensions in a dataset; the former is an unsupervised algorithm, whereas the latter is supervised.
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
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