Predictive Model | Towards AI

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Machine Learning: Dimensionality Reduction via Principal Component Analysis

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October 25, 2018

Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. How does PCA work? In machine learning, a dataset containing features (predictors) and discrete class labels (for a classification problem such as logistic regression); or features and continuous outcomes (for a linear …

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Machine Learning: Dimensionality Reduction via Principal Component Analysis

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