This course covers the skills required to develop, assess, tune, compare, and score predictive models using JMP Pro software.
This course teaches you how to build and understand predictive models using machine learning techniques such as generalized regression models, k-nearest neighbors, naïve Bayes, support vector machines, decision trees, and neural networks. You will also learn how to validate predictive models using cross-validation, holdback validation, and information-theoretic criteria.
Duration: 4 half-day sessions
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