This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC.
Below is the last article in the series Statistical Concepts Explained in Simple English. The full series is accessible here.
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28 Statistical Concepts Explained in Simple English - Part 18
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