Linear Discriminant Analysis for Dimensionality Reduction in Python

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Dimensionality reduction involves reducing the number of input variables or columns in modeling data. LDA is a technique for multi-class classification that can be used to automatically perform dimensionality reduction. In this blog, we'll learn how to evaluate predictive models that use an LDA projection as input and make predictions with new raw data. Interesting!

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Source: https://machinelearningmastery.com/linear-discriminant-analysis-for-dimensionality-reduction-in-python/
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