Texas Tech University 3 credits Industrial Engineering
Prerequisite: Understanding of basic calculus, algebra, probability and statistics, and programming.Fundamentals of data science and machine learning, including data cleaning, visualization, regression, classification, clustering, regularization, logistic regression, support vect or machines, decision trees, random forests, k-nearest neighbors, cross-validation, and the bias- variance tradeoff. Applications in industrial engineering.
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